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UCLA Graduate Programs

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Graduate Program: Bioinformatics

UCLA's Graduate Program in Bioinformatics offers the following degree(s):

Doctor of Philosophy (Ph.D.)

Master of Science (M.S.)

With questions not answered here or on the program’s site (above), please contact the program directly.

Bioinformatics Graduate Program at UCLA 172 Boyer Hall 611 Charles E. Young Drive Box 951570 Los Angeles, CA 90095-1570

Visit the Bioinformatics’s faculty roster

COURSE DESCRIPTIONS

Visit the registrar's site for the Bioinformatics’s course descriptions

  • Admission Requirements
  • Program Statistics

(310) 825-0068

[email protected]

MAJOR CODE: BIOINFORMATICS

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Bioinformatics Graduate Programs in America

1-25 of 84 results

Yale School of Medicine

New Haven, CT •

Yale University •

Graduate School

  • • Rating 4.8 out of 5   5 reviews

Master's Student: So far, the interactions I have had with the administration are all positive. Administrators are very responsive and knowledgeable and helpful. ... Read 5 reviews

Yale University ,

Graduate School ,

NEW HAVEN, CT ,

5 Niche users give it an average review of 4.8 stars.

Featured Review: Master's Student says So far, the interactions I have had with the administration are all positive. Administrators are very responsive and knowledgeable and helpful. .

Read 5 reviews.

Harvard Medical School

Boston, MA •

Harvard University •

  • • Rating 4.94 out of 5   16 reviews

Other: Harvard is my dream school. Next year I will graduate the Mongolian National University of Medical Sciences. Then I will applying to Harvard Medical School. If I accepted by this school, I will try my best of the best….. ... Read 16 reviews

Harvard University ,

BOSTON, MA ,

16 Niche users give it an average review of 4.9 stars.

Featured Review: Other says Harvard is my dream school. Next year I will graduate the Mongolian National University of Medical Sciences. Then I will applying to Harvard Medical School. If I accepted by this school, I will try... .

Read 16 reviews.

Pratt School of Engineering

Durham, NC •

Duke University •

  • • Rating 5 out of 5   2 reviews

Master's Student: New program, Financial Technology, is a comprehensive curriculum bringing together financial principles and computing. Interesting electives and flexibility to create your own tract, incorporating courses from all of Duke's colleges. ... Read 2 reviews

Duke University ,

DURHAM, NC ,

2 Niche users give it an average review of 5 stars.

Featured Review: Master's Student says New program, Financial Technology, is a comprehensive curriculum bringing together financial principles and computing. Interesting electives and flexibility to create your own tract, incorporating... .

Read 2 reviews.

University of Pittsburgh

Graduate School •

PITTSBURGH, PA

  • • Rating 4.43 out of 5   74

Kenneth P. Dietrich School of Arts and Sciences

University of Pittsburgh •

College of Science and Mathematics - Rowan University

Rowan University Graduate •

GLASSBORO, NJ

  • • Rating 5 out of 5   1

Perelman School of Medicine

Philadelphia, PA •

University of Pennsylvania •

  • • Rating 5 out of 5   5 reviews

Master's Student: I am a first year, but I love Penn and my MPH program so much! I've never been surrounded by so many like-minded individuals before in my life. ... Read 5 reviews

University of Pennsylvania ,

PHILADELPHIA, PA ,

5 Niche users give it an average review of 5 stars.

Featured Review: Master's Student says I am a first year, but I love Penn and my MPH program so much! I've never been surrounded by so many like-minded individuals before in my life. .

Weinberg College of Arts and Sciences

Evanston, IL •

Northwestern University •

Northwestern University ,

EVANSTON, IL ,

Vanderbilt University School of Medicine

Nashville, TN •

Vanderbilt University •

Graduate Student: Vanderbilt University School of Nursing. Loved my experience! Great teachers, easy to access, clear cut goals in class, great clinical experiences. ... Read 2 reviews

Vanderbilt University ,

NASHVILLE, TN ,

Featured Review: Graduate Student says Vanderbilt University School of Nursing. Loved my experience! Great teachers, easy to access, clear cut goals in class, great clinical experiences. .

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Washington University School of Medicine in St. Louis

St. Louis, MO •

Washington University in St. Louis •

  • • Rating 4.73 out of 5   15 reviews

Doctoral Student: So far, my experience had been amazing! The drive and parking are not the best, but the students and staff are very good. ... Read 15 reviews

Washington University in St. Louis ,

ST. LOUIS, MO ,

15 Niche users give it an average review of 4.7 stars.

Featured Review: Doctoral Student says So far, my experience had been amazing! The drive and parking are not the best, but the students and staff are very good. .

Read 15 reviews.

Pritzker School of Medicine

Chicago, IL •

University of Chicago •

University of Chicago ,

CHICAGO, IL ,

Dornsife College of Letters, Arts and Sciences

Los Angeles, CA •

University of Southern California •

University of Southern California ,

LOS ANGELES, CA ,

Keck School of Medicine

  • • Rating 5 out of 5   7 reviews

Current Master's student: The Keck School of Medicine's Translational Genomics Program is a rigorous and comprehensive program that provides students with a strong foundation in genomics research and its applications. The program offers excellent resources and facilities for students, including state-of-the-art laboratories and access to cutting-edge technology. The faculty are knowledgeable and supportive, and the curriculum is well-structured and challenging. there are some areas where the program could be improved. One concern is the safety of the area surrounding the campus, which can be a bit dangerous. It would be beneficial for the program to improve security measures in order to ensure the safety of students and faculty. In addition, the program currently does not offer on-campus job opportunities, which can be challenging for international students who are not eligible to work off-campus. ... Read 7 reviews

7 Niche users give it an average review of 5 stars.

Featured Review: Current Master's student says The Keck School of Medicine's Translational Genomics Program is a rigorous and comprehensive program that provides students with a strong foundation in genomics research and its applications. The... In addition, the program currently does not offer on-campus job opportunities, which can be challenging for international students who are not eligible to work off-campus. .

Read 7 reviews.

Cornell University College of Agriculture and Life Sciences

Ithaca, NY •

Cornell University •

Cornell University ,

ITHACA, NY ,

University of Michigan Medical School

Ann Arbor, MI •

University of Michigan - Ann Arbor •

Current Doctoral student: University of Michigan Medical School offers an exceptional medical education experience. What is unique about Michigan medical school is the innovative focus they have on their curriculum and culture of continuous improvement. The pre-clinical curriculum is only 12 months, which allows students to start their core clinical rotations in their second year. This affords students the opportunity to gain and improve upon clinical skills early, have more time to do research and cultivate career interests, and builds a foundation of knowledge that makes the students some of the best clinically trained in the country. Not only is the student body full of people with diverse, impressive accomplishments and experiences, but the culture is one where students genuinely value and support each other. ... Read 2 reviews

University of Michigan - Ann Arbor ,

ANN ARBOR, MI ,

Featured Review: Current Doctoral student says University of Michigan Medical School offers an exceptional medical education experience. What is unique about Michigan medical school is the innovative focus they have on their curriculum and... .

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UCLA College of Letters and Science

University of California - Los Angeles •

  • • Rating 3 out of 5   1 review

University of California - Los Angeles ,

1 Niche users give it an average review of 3 stars.

Read 1 reviews.

David Geffen School of Medicine

  • • Rating 5 out of 5   1 review

Alum: It was excellent. Opportunities were bountiful. I had the opportunity to rotate at sites that included RRMC, VA, Oliveview County Hospital, Harbor County Hospital, and Cedar-Sinai Medical Center. I was to develop deep and rewarding relationships with mentors which helped me to match at my first choice program for residency. Training in SoCal is also a plus. Fortunately, the school provided subsidized student housing which made living in West LA very affordable. ... Read 1 review

1 Niche users give it an average review of 5 stars.

Featured Review: Alum says It was excellent. Opportunities were bountiful. I had the opportunity to rotate at sites that included RRMC, VA, Oliveview County Hospital, Harbor County Hospital, and Cedar-Sinai Medical Center. I... .

Krieger School of Arts & Sciences

Baltimore, MD •

Johns Hopkins University •

  • • Rating 4.53 out of 5   19 reviews

Master's Student: I have yet to enroll for Fall 2023 after receiving my acceptance letter due to a delay in my need-based financial aid from JHU. However the Homewood Campus in Baltimore is beautiful and my Student Advisor, Alexis has been extremely helpful in initiating my enrollment process and answering all of my questions in a timely matter. My intended Advanced Academic Program is the accelerated (2 semester), dual-modality, 40-credit M.S. in Biotechnology, Biodefense concentration. All of the anticipated course subjects are diverse and there's even a customizable core lab course on campus (at least until Summer 2024). I can't wait and I wish you all the best in your search for academic programs or professional certifications. ... Read 19 reviews

Johns Hopkins University ,

BALTIMORE, MD ,

19 Niche users give it an average review of 4.5 stars.

Featured Review: Master's Student says I have yet to enroll for Fall 2023 after receiving my acceptance letter due to a delay in my need-based financial aid from JHU. However the Homewood Campus in Baltimore is beautiful and my Student... .

Read 19 reviews.

School of Computer Science - Carnegie Mellon University

Pittsburgh, PA •

Carnegie Mellon University •

Blue checkmark.

Carnegie Mellon University ,

PITTSBURGH, PA ,

Mellon College of Science

College of sciences - georgia institute of technology.

Atlanta, GA •

Georgia Institute of Technology •

Other: Georgia Tech is among the top colleges you can attend. My journey there had its highs and lows, but looking back, every experience contributed significantly to my growth. A piece of advice I'd offer to newcomers is to prioritize building friendships early on. One regret I have as I reflect on my year is not connecting with more people. I initially thought I should always work independently, but that was a misstep in my academic journey. Remember, it's essential to strike a balance between learning and having fun. ... Read 1 review

Georgia Institute of Technology ,

ATLANTA, GA ,

Featured Review: Other says Georgia Tech is among the top colleges you can attend. My journey there had its highs and lows, but looking back, every experience contributed significantly to my growth. A piece of advice I'd offer... .

School of Medicine - University of North Carolina at Chapel Hill

Chapel Hill, NC •

University of North Carolina at Chapel Hill •

  • • Rating 4.5 out of 5   2 reviews

Graduate Student: UNC is a great school and has a wonderful public health program. Gillings is a very collaborative environment and the faculty are very engaged with students. ... Read 2 reviews

University of North Carolina at Chapel Hill ,

CHAPEL HILL, NC ,

2 Niche users give it an average review of 4.5 stars.

Featured Review: Graduate Student says UNC is a great school and has a wonderful public health program. Gillings is a very collaborative environment and the faculty are very engaged with students. .

Tandon School of Engineering

Brooklyn, NY •

New York University •

Master's Student: As a bioinformatics master's student at the NYU Tandon School of Engineering, I've had the opportunity to explore the fascinating intersection of biology and computer science. The program has provided a robust curriculum, covering topics such as proteomics, transcriptomics, NGS, and data analysis, which have equipped me with the skills needed to analyze and interpret complex biological data. The faculty at Tandon are experienced and supportive, and I've had the chance to collaborate with fellow students on exciting research projects. The interdisciplinary nature of bioinformatics has allowed me to gain insights into cutting-edge technologies and methodologies that are shaping the future of the field. Overall, my experience at NYU Tandon has been enriching, and I look forward to applying the knowledge and skills acquired during my master's program to contribute meaningfully to the field of bioinformatics. ... Read 15 reviews

New York University ,

BROOKLYN, NY ,

Featured Review: Master's Student says As a bioinformatics master's student at the NYU Tandon School of Engineering, I've had the opportunity to explore the fascinating intersection of biology and computer science. The program has... The faculty at Tandon are experienced and supportive, and I've had the chance to collaborate with fellow students on exciting research projects. The interdisciplinary nature of bioinformatics has... Overall, my experience at NYU Tandon has been enriching, and I look forward to applying the knowledge and skills acquired during my master's program to contribute meaningfully to the field of... .

Virginia Tech College of Science

Blacksburg, VA •

Virginia Tech •

Virginia Tech ,

BLACKSBURG, VA ,

Graduate School of Arts & Sciences - Boston University

Boston University •

Boston University ,

University of Wisconsin School of Medicine and Public Health

Madison, WI •

University of Wisconsin •

Doctoral Student: The best part of being in the Endocrinology and Reproductive Physiology program in UW-Madison’s School of Medicine and Public Health is the community. I love the diversity of endocrinology training my program has, as well as the tight-knit, family-style bonding we do over science. In my cohort alone, we are studying bovine ovarian cycles and luminal breast cancers all the way to diabetes and SSRI effects on bone density. SMPH does a great job of housing unique programs like my own, facilitating collaborations between labs, and providing great goals and standards for all students to learn and achieve together. Although expected with having a large campus and being in diverse fields, the worst part of my academic experience is being spread across campus from my friends. With our busy research schedules, these distances across campus stop us from studying together for classes as often as we should. ... Read 2 reviews

University of Wisconsin ,

MADISON, WI ,

Featured Review: Doctoral Student says The best part of being in the Endocrinology and Reproductive Physiology program in UW-Madison’s School of Medicine and Public Health is the community. I love the diversity of endocrinology training... .

UW College of Agricultural & Life Sciences

College of liberal arts & sciences - university of illinois.

Urbana, IL •

University of Illinois Urbana-Champaign •

University of Illinois Urbana-Champaign ,

URBANA, IL ,

Showing results 1 through 25 of 84

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Richard and Loan Hill Department of Biomedical Engineering

Colleges of engineering and medicine, phd in bioinformatics.

Students must complete a minimum of 108 semester hours beyond the baccalaureate degree in order to complete the PhD program.

Coursework requirements Heading link Copy link

big genomic data visualization

Students admitted with a prior master’s degree in biomedical engineering or bioinformatics or a related field must complete at least 24 hours of coursework, 12 hours of which must be bioengineering courses. In addition, at least 12 hours must be at the 500 level (excluding BME 595, 596, and 599). A maximum of 4 hours of BME 590 may be applied toward the degree, provided that credit for BME 590 or a similar course was not applied toward a prior MS degree.

Students who are directly admitted after a bachelor’s degree in biomedical engineering, bioinformatics, or a related field must complete at least 48 hours of coursework, at least 24 hours of which must be bioengineering courses. At least 20 hours must be at the 500 level (excluding BME 595, 596, and 599). A maximum of 4 hours of BME 590 may be applied toward the degree.

One semester hour of BME 595 is required for all PhD in Bioinformatics students. Each student is required to present at least one seminar in BME 595 prior to graduation.

PhD students must earn at least 60 semester hours in BME 599, in which they conduct original research and write their dissertation. You can see examples of recent dissertations by our bioinformatics students on our dissertations page .

Qualifying examination Heading link Copy link

PhD in Bioinformatics students must pass a qualifying examination before they move on to the preliminary examination phase. (Please note that this is a difference from the PhD in Biomedical Engineering.) Students must attempt the qualifying exam at the end of the first academic year, and two attempts may be made. The four-hour exam is held on the first Monday in June each year. It consists of up to nine questions that are based on the courses offered during the fall and spring terms of that academic year. Students may choose at most six questions, and the final score is calculated based on the five best-scored questions.

Preliminary examination Heading link Copy link

PhD students must pass an oral preliminary examination on their proposed dissertation topic. In this examination, students must demonstrate a capacity for independent research on an original dissertation topic within the selected field of study. Visit the Preliminary Examination page for full details.

Dissertation Heading link Copy link

Upon completion of all degree requirements and the dissertation, students must orally defend their work before the committee. Visit the Dissertation Process page for full details.

Additional resources for PhD in Bioinformatics students Heading link Copy link

  • Graduate catalog page for PhD in Bioinformatics
  • Graduate student resources page
  • Bioinformatics PhD course checklist
  • Important deadlines for graduate students

If you have any further questions about the program that aren’t answered here or on our Graduate FAQ page, please email [email protected] .

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Integrated Biomedical Sciences (IBS)

Genomics & bioinformatics phd program.

The PhD in Genomics and Bioinformatics is designed to develop research scientists who apply principles and methods in genomics and bioinformatics to the study of human diseases.

The PhD in Genomics and Bioinformatics provides research training areas that reflect GW faculty expertise which includes DNA/RNA sequence analysis, algorithm development, cloud computing optimization, informatics platform development, biomarker discovery, microbiome, retrovirology (HIV/AIDS), autism spectrum disorders, muscular dystrophies, cancer genomics, glycoinformatics, microRNA processing, protein trafficking, and dysregulation of mitochondrial functions. Faculty are drawn largely from the GW School of Medicine and Health Sciences and Children’s Research Institute of Children’s National Health System.

Students have access to the state of the art technologies in genomics, proteomics, microscopy, bioinformatics, pre-clinical drug trials and multi-site clinical trial networks. Resources include the GW  Genomics Core , the GW  Biorepository  resource of biospecimens and clinical data, the  McCormick Genomic  and Proteomic Center, and  Colonial One  (the GW High Performance Computing Cluster), as well as cutting-edge core facilities for flow cytometry, imaging, and pathology.

PhD programs in the biomedical sciences are designed to meet key goals in contemporary graduate research education including 1) discipline-specific knowledge, 2) research skill development, 3) research communication skills, 4) research leadership, 5) research professionalism, and prepare graduates for a variety of science careers. To apply, please visit  IBS Admissions .

The PhD in Genomics & Bioinformatics begins with interdisciplinary coursework in molecular, cellular, and systems biology in the first semester. In the second and third semester students take a comprehensive introduction to the conceptual and experimental underpinnings of computational biology, statistics, genetics, and DNA sequencing. Career development coursework in scientific writing, oral communication, and research ethics; and laboratory rotations offered through GW’s Integrated Biomedical Sciences curriculum. Following required laboratory rotations, students work with their research advisor and the Graduate Program Directors to complete remaining Genomics & Bioinformatics degree requirements, including the dissertation.

Genomics and Bioinformatics Core:

  • GENO 8231: Introduction to Genomics, Proteomics, and Bioinformatics
  • GENO 8232: Computational Biology and Bioinformatics - Principals and Practices
  • GENO 6223: Bioinformatics
  • GENO 6237: Proteomics & Biomarkers
  • GENO 8998: Advanced Reading and Research Seminar Course
  • GENO 8999: Dissertation Research

Some Suggested Electives:

  • BIOC 6240: Next Gen Sequencing.
  • PUBH 6277: Public Health Genomics
  • BMSC 8219: Writing the Grant-Style Qualifier

Seminars/Journal Clubs:

CTSI-CN Informatics Seminar Series

Complete grant-style qualifier examination, advance to candidacy

Graduate Program Directors:

Ljubica Caldovic, PhD Assistant Research Professor of Genomics and Precision Medicine Children's National Health System; GWU [email protected]

Raja Mazumder, PhD Professor of Biochemistry and Molecular Medicine GWU, Ross Hall 540 [email protected]

How to apply  to the IBS and Genomics and Bioinformatics PhD Program For IBS Application Questions contact Colleen Kennedy, IBS Program Manager

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Admissions Requirements for Bioinformatics Ph.D. Program

Thank you for your interest in the Bioinformatics & Systems Biology Graduate Program at UC San Diego. This is a full-time PhD program. Students are admitted as full-time PhD students. We do not admit "Masters-only" students.

Admission is in accordance with the general requirements of the graduate division. Candidates should have a quantitative or computational track record and a passion for working on challenging research questions in interdisciplinary areas across biology, medicine, computational sciences and engineering. The most competitive applicants have an undergraduate degree majoring in any of the disciplines in the biological sciences, the physical sciences, computer science, or mathematics, and a strong background in the complementary disciplines.

Applicants must apply online at https://gradapply.ucsd.edu and must submit a completed UC San Diego Application for Graduate Admission (use major code BF76). Applicants indicate their priority interest in the Bioinformatics and Systems Biology Track or the Biomedical Informatics Track; please see this page for further information on each track.

Fall 2024 Application Deadline: Wednesday November 29, 2023. Applications with fee waiver requests are due a week earlier.

Please expand the sections below for more information.

UCSD offers an online application for the Bioinformatics & Systems Biology Graduate Program. Hard copy applications are not available. Apply online at https://gradapply.ucsd.edu (use major code BF76 ). The online application system opens mid-September.

Students are only admitted during the fall quarter. The Fall 2024 Application Deadline is Wednesday November 29, 2023. Applications with fee waiver requests are due a week earlier.

Please send test scores to

  • Institution Code 4836 (UC San Diego)
  • GRE Department Code 0224 (Bioinformatics)
  • TOEFL Department Code 69 (Engineering, other)

For further admission information, students should see the Admissions FAQ or contact the Bioinformatics and Systems Biology graduate coordinator via e-mail at [email protected] or at (858) 822-0831.

To check the status of application materials that you have submitted, please email the Graduate Coordinator with your Name, Date of Birth, and Email Address used on your application. An email containing the status of your application will ONLY provide information verifying receipt of supplementary materials (transcripts, letters, etc.). Official notification of admission is distributed directly from the campus-wide Graduate Education office (GEPA).

Admission review will be on a competitive basis based on the combined elements of the application, which include:

  • Undergraduate / graduate transcripts (unofficial transcripts suffice for the application; English translation must accompany transcripts written in other languages)
  • Graduate Record Examination (GRE) General Test scores (optional for Fall 2024 admissions cycle; see notes below)
  • TOEFL scores (required ONLY for international applicants whose native language is not English and whose undergraduate education was conducted in a language other than English)
  • Statement of Purpose
  • 3 Letters of Reference from individuals who can attest to the academic competence and to the depth of the candidate’s interest in pursuing graduate study
  • Curriculum Vitae
  • Short answers to questions
  • Additional Educational Experience ( optional ; categories include: Community Involvement, Leadership, Overcoming Adversity, Personal or Professional Ethics, Research, Social Justice Experience, Other).  These responses will also allow you to be considered for Graduate Division Fellowships.

All applications will be screened and evaluated by the Admissions Committee with input from program faculty. Important factors in the holistic review of the application include:

  • Nature and quality of the undergraduate program
  • Undergraduate track record and other scholastic achievements
  • Preparation in quantitative and biomedical subject areas (see for example)
  • Proficiency with computation
  • Previous research experience, if any
  • Publications, if any
  • Evidence of qualities needed for success in graduate programs such as motivation, initiative, independence, commitment, and career plans
  • Interest in the program faculty
  • Additional educational experience

Strong applications will demonstrate aptitude for critical thinking, quantitative reasoning, computational and/or research experience, community engagement, motivation, initiative and perseverance.

  • Due to the impact of COVID-19, GRE General Test scores are optional for applications for Fall 2024 admissions. We encourage applicants to use GRE scores to the best effect for their applications. For our program, GRE General Test scores are considered as evidence of quantitative and analytical reasoning abilities. We encourage reporting of scores that provide support for this. Further context can be provided in the Statement of Purpose.
  • The application form for Fall 2024 admissions includes an optional COVID-19 Personal Statement section to address any impacts due to COVID-19.
  • For applicants who are required to take the TOEFL iBT or IELTS, we have added additional options for applications for Fall 2024 admissions: the TOEFL iBT Special Home Edition; and the IELTS Indicator. See more info here.

Are you an undergraduate who (i) is interested in learning about research as a career, or (ii) already has a passion for research and wants to learn more about the PhD path? If so, students of the UCSD Bioinformatics and Systems Biology PhD program are putting on a student-led info session aiming to:

  • Encourage undergraduate students to consider PhD programs as one of the fastest paths to leadership positions in academia or industry. We go over common requirements for (i) most STEM PhD programs, (ii) typical requirements of Bioinformatics PhD programs, and (iii) the specific requirements of the UCSD Bioinformatics PhD program.  
  • Raise awareness of the benefits of the PhD path. We want students to know that (i) you are paid a living wage as a PhD student, (ii) you typically don’t pay tuition for most Bioinformatics PhD programs, (iii) what the day-to-day life of a PhD researcher is like.  
  • Provide mentorship (limited availability) to undergraduates who are interested in applying to the UCSD Bioinformatics PhD program. This includes either a one-on-one meeting with a current UCSD Bioinformatics and Systems Biology PhD student and/or a review of application materials. If the student doesn't have the experiences or the classwork yet, we will advise them how to gain those experiences so they can have a competitive application next year.

How do I sign up?

  • The live info session will be held on Wednesday, November 1, 2023 at 3pm PDT.
  • One-on-one appointments and application advising will be available through mid-November 2023.
  • sign up for the info session;
  • sign up for a mentoring session;
  • request an application review;
  • or submit a question about the application process to current students.

Past info sessions

  • Nov 2023: [video] [slides]
  • Oct 2022: [video] [slides]
  • Nov 2020: [video] [tips & resources from students]
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bioinformatics phd programs usa

The Graduate Program in Bioinformatics

We are committed to increasing the representation of minorities in science. We believe that all of our students benefit from being part of a community where they can learn about each other’s backgrounds, cultures, religious beliefs, physical and mental abilities, political views and career aspirations. As ours was one of the first Bioinformatics graduate programs, we feel a particular responsibility to support highly qualified individuals who are underrepresented in science.

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Education & Training

Phd in bioinformatics and systems biology with emphasis in biomedical informatics.

The PhD curriculum for our trainees consists of formal instruction to provide the intellectual framework for conducting research.

Biomedical Informatics Core

  • Informatics in Clinical Environments (MED 265): 1 Students are introduced to the basics of healthcare systems and clinical information needs through direct observation and classroom discussion. Students are introduced to medical language, disease processes, and health care practices to provide context prior to direct patient observation at primary, specialty, emergency, and inpatient sites in conjunction with clinical faculty affiliated with the training program. Students examine how clinicians use history-taking, physical examination and diagnostic testing to establish diagnoses and prognoses. Medical decision-making is introduced in the context of available informatics tools and clinical documentation and communication processes. Post-observation classroom discussions encourage students to think critically of the processes they observed and formulate hypotheses about how informatics solutions can modify the processes.
  • Modeling Clinical Data and Knowledge for Computation (MED 267): This course describes existing methods for representing and communicating biomedical knowledge. The course describes existing health care standards and modeling principles required for implementing data standards, including biomedical ontologies, standardized terminologies, and knowledge resources.

1  Students with a clinical background will replace MED 265 with an additional course: Bioinformatics Applications to Human Disease (MED 263).

Bioinformatics Core

The core courses provide foundations in the biological basis of human health and disease and the statistical discovery of medical knowledge from biological experimentation. These classes are taken during the first year.

  • Bioinformatics II (BENG 202) :  Introduction to methods for sequence analysis, applications to genome and proteome sequences, and protein structure and sequence-structure analysis.
  • Principles of Biomedical Informatics (MED 264) : students are introduced to the fundamental principles of BMI and to the problems that define modern healthcare. The extent to which BMI can address healthcare problems is explored. Topics covered include structuring of data, computing with phenotypes, integration of molecular, image and other non-traditional data types into electronic medical records, clinical decision support systems, biomedical ontologies, data and communication standards, data aggregation, and knowledge discovery.
  • Bioinformatics IV (MATH 283):  Analysis of modern genomic data, sequence analysis, gene expression/functional genomics analysis, and gene mapping/applied population genetics. The course focuses on statistical modeling and inference.

For the fourth core class, choose one of the following. In the event that a student completes two or more of these with suitable grades, one will count as core and the other(s) as electives.

  • Algorithms in Computational Biology (CSE 280A): (Formerly CSE 206B) The course focuses on algorithmic aspects of modern bioinformatics and covers the following topics: computational gene hunting, sequencing, DNA arrays, sequence comparison, pattern discovery in DNA, genome rearrangements, molecular evolution, computational proteomics, and others. Prerequisites: CSE202 preferred or consent of instructor. 
  • Algorithms for Biological Data Analysis (ECE 208): This course introduces a series of general algorithmic techniques but uses computational evolutionary biology as the context. The course motivates each algorithmic concept using a specific biological application related to evolution and focuses the discussion on specific types of (big) data available in modern biological studies. Note: The instructor and the BISB program are in the process of getting approval from the Graduate Council to introduce this as a course and to allow it as a core option. While we await approval, the course is offered under a temporary course number, ECE 286, by Prof. Siavash Mirarab, with the title "Algorithms for Biological Data Analysis." The course code ECE 286 may be used by other special topics courses as well, so be sure to enroll in the correct one.
  • Genomics, Proteomics, and Network Biology (Bioinformatics III, BENG 203/CSE283): This is core in the BISB track. In the BMI track, it may be taken as the 4th core class or as an elective. Anotating genomes, characterizing functional genes, profiling, reconstructioning pathways.  Prerequisites: Pharm 201, BENG 202/CSE282, or consent of instructor. 

All students in years 1 and 2 must take both seminars in fall, winter, and spring quarters.

  • Current Trends in Biomedical Informatics (MED 262): Weekly talks by researchers introduce students to current research topics within BMI. Speakers are drawn from academia, health care organizations, industry, and government.
  • Bioinformatics Student Research Talks (BNFO 283) : Weekly presentations by Bioinformatics and Systems Biology students about Research Projects that are proposed or completed. Faculty mentors are present to contribute critiques and suggestions.

All students must take one of the two ethics courses by the end of second year. However, funding sources may require that it be taken first year, so we recommend taking it the first year.

  • Scientific Ethics (SOMI 226): see below description
  • Ethics in Scientific Research (BIOM 219): Overview of ethical issues in scientific research, conflicts of interest; national, statewide and campus issues and requirement; ethical issues in publications; authorship; retention of research records; tracing of research records; attribution; plagiarism; copyright considerations; primary, archival and meeting summary publications; ethical procedures and policies; NIH, NSF, California and UC San Diego; case studies and precedents in ethics.

Research and Teaching

During the academic year, all students must be enrolled in the appropriate research course for their level. Students typically do three rotations in year 1 (BNFO 298) and then do research units (BNFO 299) with their thesis advisor in years 2 and later. BNFO 299 units may be varied to meet the full-time enrollment requirement of 12 units per quarter in fall, winter, and spring.

  • Teaching Assistantship (TA) (BNFO 500) :  Students will be a TA for two quarters during second or third year. To prepare for this teaching, students will receive training through the Center for Teaching Development at UCSD.
  • Research Rotation (BNFO 298) : Taken each quarter during first year to help determine the thesis adviser.
  • Graduate Research (BNFO 299): Independent work by graduate students engaged in research and writing theses. S/U grades only. May be taken for credit fifteen times.

Students must take 16 units of elective courses, including 8 units from the BMI series and 4 units from the CS series. The final 4 units can be taken from any series. The two BMI core courses MED 265 (or MED 263 for students with a clinical background) and MED 267 count as electives. Please check this  BISB curriculum page  for the list of all approved electives and elective series. 

Formal Progress to Degree

There are three formal evaluations that students must complete prior to being awarded a PhD degree: 

  • Qualifying Examination:  This examination must be passed prior to the end of the student’s second year of study. The written portion of the exam consists of the student preparing an NIH or NSF-style research proposal. This proposal is then defended in an oral examination. Once the student passes the oral portion of the exam, the student is deemed to be qualified for advancing into PhD thesis research.
  • Advancement to PhD Candidacy:  Upon completion of formal course requirements, each student is required to take a written and oral qualifying examination that admits the student to the candidacy of the PhD Program. The exam is administered by the dissertation committee, which consists of five faculty members.
  • Final Examination:  All students defend their thesis in a final oral examination.

How to Apply

Application for admission to graduate studies is made directly through the Bioinformatics and Systems Biology website.

To be considered for the NLM fellowship, in addition to submitting your application and documentation to the degree program of your choice, please send the following to dbmi fellowship at ucsd dot edu:

  • Personal Statement- explaining why you are a good candidate for the fellowship and what you hope to accomplish as an NLM trainee, the specific kind of research and topics you are interested in studying and what your goals are after completing the fellowship.
  • A current and up to date CV; and
  • In the body of your email please indicate which degree program you are applying to.
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Bioinformatics faculty

The Bioinformatics Interdepartmental Ph.D. Program is one of ten Home Areas within the UCLA Graduate Programs in Bioscience (GPB).  Home Areas consist of faculty and students with shared interest in research areas and approaches. Each interdepartmental Home Area is aligned with a Ph.D.-granting program, provides in depth, cutting-edge training, and offers access to a wide variety of exceptional faculty mentors. Interdisciplinary Ph.D. program with integrated one-year core curriculum , over 50 elective courses, and over 20 core bioinformatics faculty spanning life & physical sciences, the Schools of Medicine and Engineering.

  • Prospective graduate students are encouraged to apply for admission  to the UCLA Bioinformatics Ph.D. program.
  • UCLA undergraduates can get involved through the many undergraduate bioinformatics course offerings as well as an Undergraduate Minor program in Bioinformatics .
  • UCLA Computer Science Masters students are encouraged to get involved through graduate courses in Bioinformatics which are applicable to their Masters program.
  • There are plenty of opportunities for current UCLA students to get involved in bioinformatics research projects . Students from outside UCLA interested in research internships should contact Bioinformatics faculty directly.

What is the UCLA Bioinformatics Ph.D. Program?

We offer integrated doctoral training for students interested in working at the interface of computer science, biology, and mathematics to address the fundamental challenges of contemporary genomic-scale research.  Our interdisciplinary Ph.D. program consists of an integrated one-year core curriculum, research rotations, over 50 elective courses, and faculty mentors spanning biology, mathematics, engineering, and medicine.

What is Bioinformatics?

Bioinformatics can be defined broadly as the study of the inherent structure of biological information. Some of this inherent structure is very obvious (e.g., statistical patterns that reveal crucial functional regions such as genes), while others are less obvious but still immediately fruitful (e.g., how regulatory sequences give rise to “programs” of gene expression), while others are profound long-term challenges (e.g., how the genome encodes the capabilities of the human mind). Bioinformatics is the marriage of biology and the information sciences. Long term, this is a huge intellectual project. Fortunately, it is producing immediately valuable results now, e.g.:

  • Statisticians have invented analyses of DNA microchip results (expression measurements of all 30,000 human genes simultaneously) that can distinguish different types of tumors with dramatically different treatment requirements, which previously were hard to differentiate clinically.
  • Evolutionary biologists have developed bioinformatics analyses of genome sequence data that reveal the precise pathways by which dangerous pathogens (like HIV) evolve drug resistance, and how to slow the evolution of multi-drug resistance.
  • Computer scientists have created powerful new ways for mapping brain functions automatically from standard imaging data.

UCLA Bioinformatics History

UCLA has a strong record of bioinformatics research and graduate training. In 1999 the faculty established a graduate core curriculum in bioinformatics, which has been offered continuously since that time, and recently has been greatly expanded, demonstrating the faculty’s commitment to collaborative teaching and to long-term development of an integrated bioinformatics program. These initiatives have been recognized by a large number of awards of multi-investigator Project and Training grants in bioinformatics from NIH, NSF, DOE and other funding sources.

The Bioinformatics IDP provides an academic home for bioinformatics at UCLA that brings together the many different disciplines that this field requires. Examples of current bioinformatics research conducted by the core faculty include:

  • The analysis of gene and protein sequences to reveal protein evolution and alternative splicing
  • The development of computational approaches to study and predict protein structure to further our understanding of function
  • The analysis of mass spectrometry data to, for example, understand the connection between phosphorylation and cancer
  • The development of computational methods to utilize expression data to reverse engineer gene networks in order to more completely model cellular biology
  • The study of population genetics and its connection to human disease

Research strengths

The program involves over 45 core bioinformatics faculty leading research in:

  • Prediction of protein structure, function, interaction networks
  • Transcriptomics via RNAseq
  • Epigenomics (high-throughput methylation profiling)
  • Genome-wide association for disease genes
  • Stochastic network inference and modeling
  • Population genomics
  • Bayesian phylogenetics and comparative genomics
  • Genome evolution
  • Algorithmic development for high-throughput data-mining
  • Expression profiling
  • Genomic-scale genotyping
  • Next generation sequencers (e.g. pyrosequencing)
  • Chemical informatics (diversity library screening)
  • Proteomics (e.g. NMR, mass spectroscopy)
  • Core facilities for advanced computing: The Center for Computational Biology provides one of the largest computational Grid clusters in Southern California.
  • Institute for Pure and Applied Mathematics
  • Single campus that integrates schools of Medicine, Engineering, Life Sciences, Mathematical and Physical Sciences, and Public Health.
  • Extensive fellowship support

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Bioinformatics PhD

Interested in a bioinformatics phd.

Our goal is to prepare highly selected students for productive research careers in genetics. Because of the central role played by genetics in all biological processes and the vastly expanding applications of genetics to virtually every aspect of modern society we believe that it is as important for our students to develop a broad perspective as it is for them to become experts in a specific area. A broad perspective is indispensable for the formulation of long-term career goals as well as for productive collaborations that have become such an integral part of modern research. While developing a broad base through appropriate courses, first-year students participate in eight-week research rotations in faculty laboratories of their choice. These rotations provide the basis for selecting the area of genetics in which the student will become an expert. Seminar courses occurring each semester focus on current topics in genetics and molecular biology and are presented by investigators within and outside of Emory. We also believe that strong presentation and communication skills are critical to becoming a top-notch scientist. As such, GMB students present periodic progress reports on their own research to the assembled Program. In summary, the GMB graduate program strives to educate and train tomorrow's top geneticists today.

The Student Experience

To provide the basis for advanced research, introductory courses covering both prokaryotic and eukaryotic systems are taken in the first year. First-year students obtain practical research training by participating in eight-week rotations in the investigators' laboratories of their choice. These rotations provide the basis for selecting dissertation topics and mentors. After completing the first year, students tailor their curriculum from a large list of specialized courses in genetics and molecular biology, as well as other areas of current biological sciences. All courses emphasize critical thinking, constructive literature evaluation, and presentation skills. Seminar courses occurring each semester focus on current topics in genetics and molecular biology and are presented by investigators within and outside of Emory. Students also present their findings in research-in-progress meetings, which are attended by their peers and the faculty. Student invited speakers, small group teaching experiences, and training in the ethical conduct of research round out the overall list of activities that occur as students conduct research and prepare their dissertation.

Research Opportunities For Bioinformatics PhD

Research interests of the faculty vary in topic, approach and model organism. This interdepartmental graduate program derives its faculty from eight different departments including those from the departments of Biology, Biochemistry, Cell Biology, Human Genetics, Microbiology & Immunology, Pathology & Laboratory Medicine, Pharmacology, and the Winship Cancer Institute. More on Research Opportunities...

Training Opportunities

The graduate program in Genetics and Molecular Biology (GMB) at Emory University offers an exciting broad based training in the fields of genetics and molecular biology and their related disciplines of biochemistry, bioinformatics, cell biology, developmental biology and statistics. Research interests of the faculty vary in topic, approach and model organism. This interdepartmental graduate program derives its faculty from ten different departments including those from the departments of Human Genetics, Biology, Biochemistry, Cell Biology, Microbiology & Immunology, Pathology & Laboratory Medicine, Pharmacology, and the Winship Cancer Institute. A wide range of research opportunities in bacterial, viral, human and eukaryotic model system genetics enable students to specialize in their area of interest while obtaining an essential foundation in genetics. Areas of emphasis listed below are supported by state-of-the-art research facilities.

Research programs of the faculty fall into six major areas:

  • Regulation of Gene Expression
  • Development and Differentiation
  • Cancer Genetics and Biology
  • Human and Medical Genetics
  • Bioinformatics and Comparative Genomics
  • Genome Structure, Replication, Recombination And Repair

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Best Doctorates in Bioinformatics: Top PhD Programs, Career Paths, and Salaries

Acquiring a PhD in Bioinformatics allows you to enjoy a smooth career journey in this interdisciplinary field. A PhD makes you stand out as an expert in the field which helps you secure high-paying positions. The best PhDs in Bioinformatics degree programs at top private and public universities can help you become a leading professional in the field.

If you’re wondering how to begin pursuing a bioinformatics PhD, this guide will cover 10 of the best academic programs available, as well as the funding opportunities and admissions process of each. We’ll also explore exciting bioinformatics jobs and the top PhD in Bioinformatics salary opportunities that await graduates.

Find your bootcamp match

What is a phd in bioinformatics.

A PhD, or Doctor of Philosophy in Bioinformatics refers to an interdisciplinary, post-graduate program that integrates the real-world experience of research and applying computer technology to the analysis and management of biological data. PhD in Bioinformatics degrees teach students to organize data from multiple experiment databases, create new algorithms, and use software and mathematical modeling to interpret biological information.

Advanced bioinformatics PhD students gain the knowledge, computational skills, and scientific skills necessary to apply the latest technology to biological data. In addition, they leverage different techniques to find solutions to diseases.

How to Get Into a Bioinformatics PhD Program: Admission Requirements

The admission requirements for a PhD in Bioinformatics program include a 3.0 GPA, letters of recommendation, a personal statement, a current resume, official transcripts, and a master’s degree in a relevant field. Some universities will require GRE exam scores and approval by the department. Certain universities will accept students with a bachelor’s degree in a relevant field.

All international and English as a second language-speaking (ESL) students will need to submit proof of English proficiency in the form of the Test of English as a Foreign Language (TOEFL) exam scores or an equivalent proficiency exam. Admission processes will vary by school, so you should carefully examine the school’s requirements before submitting your application.

PhD in Bioinformatics Admission Requirements

  • 3.0 minimum GPA
  • Letters of recommendation
  • Relevant master’s or bachelor’s degree
  • Official transcripts
  • GRE exam scores, depending on school
  • Updated resume
  • TOEFL exam or equivalent for international and ESL students

Bioinformatics PhD Acceptance Rates: How Hard Is It to Get Into a PhD Program in Bioinformatics?

It can be very hard to get into a PhD program in Bioinformatics because it is a highly specialized field that often requires real-world experience. Depending on the university you apply to, you will encounter different acceptance rates. You can learn how competitive the program is by searching for acceptance or admission rates on the program’s website.

Nevertheless, if you’re an outstanding student who achieved exceptional grades in a relevant master’s or bachelor’s program, you can be sure it will be easy to find an opportunity for acceptance in most universities.

How to Get Into the Best Universities

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Best PhDs in Bioinformatics: In Brief

Best universities for bioinformatics phds: where to get a phd in bioinformatics.

The best universities for bioinformatics PhDs include the University of Utah, John Hopkins University, the University of California, Cornell University, Columbia University, and the University of Miami. If you’re looking for a top university with graduate bioinformatics degree programs, read below for details on each of the best programs available.

Colorado State University is a public academic institution founded in 1870. Located just under two hours from Denver, CSU has eight colleges that provide numerous graduate programs to over 3,500 graduate and doctoral students. 

PhD in Biological Science

Students of this biological science program will learn basic and applied biological research and have the choice of specializing in bioinformatics. To complete this 72-credit program, you will need the BZ 779 Dissertation, which has a minimum of 32 credits. Prospective students should contact the department advising faculty to match with an advisor for successful admission. 

PhD in Biological Science Overview

  • Program Length : 5 years
  • Acceptance Rate : N/A
  • Tuition and Fees : $601.90/credit (in state); $1,475.80/credit (out of state)
  • PhD Funding Opportunities : Graduate assistantships, Marshall and Rhodes grants, and the Martin Luther King, Jr. Graduate Scholarship

PhD in Biological Science Admission Requirements

  • Master's or bachelor’s degree in a relevant field
  • Three letters of recommendation
  • Statement of purpose
  • Approval by the admission board

Founded in 1754 by King George II, Columbia University was initially known as King's College. It is the oldest higher learning institute in New York and the fifth oldest in the US. The private university offers numerous PhD programs , including programs in art history, astronomy, chemical physics, and biological sciences.

PhD in Biomedical Informatics

Columbia University's bioinformatics PhD program concentrates on courses such as clinical informatics, bioinformatics, public health informatics, and clinical research informatics. The degree requirements include 60 credit units in coursework, two specialization courses, an ethics unit, a research seminar, and two classes of teaching assistant work. 

  • Acceptance Rate : 5 - 7%
  • Tuition and Fees : $25,248/semester
  • PhD Funding Opportunities : Graduate assistantships, fellowships, and National Library of Medicine funding
  • GRE exam scores
  • Bachelor's or master’s degree in a relevant field
  • Writing supplement
  • Personal statement

Cornell University is a private research university founded in 1865 by Ezra Cornell and Andrew Dickinson White. Cornell offers numerous fully-funded PhD degrees, including programs in management, animal science, applied mathematics, molecular and cell biology, and astronomy and space sciences.

PhD in Computational Biology

This PhD in Computational Biology program blends mathematics, technology, and biology to train students to produce computational models of biological and genomic data. Students of this interdisciplinary program are taught and advised by faculty from 16 different fields and explore topics such as neuroscience, protein structure and databases, and biomechanics. 

PhD in Computational Biology Overview

  • Program Length : 5 - 6 years
  • Acceptance Rate : 5 - 10%
  • Tuition and Fees : $20,800/year
  • PhD Funding Opportunities : Graduate assistantships, research assistantships, and fellowships

PhD in Computational Biology Admission Requirements

  • Official transcripts 
  • Master’s degree
  • Two to three letters of recommendation
  • GRE exam scores (optional but encouraged)
  • Application fee

John Hopkins University is a private research university named after its initial benefactor, John Hopkins. Founded in 1876, it was the first research university to be established in the United States. Some of the most renowned and highly-ranked doctoral programs at John Hopkins include medicine, biological sciences, biostatistics, and public health.  

PhD in Pathobiology

This PhD in Pathobiology program provides an active learning, evidence-based approach to pathobiology. Enrolled students are fully funded, with average costs of over $98,000 per student covered by the university. At the end of the program, students will be prepared for academic, teaching, research, and biotechnology positions to find solutions to various diseases.

PhD in Pathobiology Overview

  • Program Length : 5.5 years
  • Acceptance Rate : 9%
  • Tuition and Fees : No fees
  • PhD Funding Opportunities : Fully funded by Johns Hopkins with a $34,910 yearly stipend

PhD in Pathobiology Admission Requirements

  • Current resume
  • Bachelor’s or master’s degree
  • GRE scores (optional)

Northern Arizona University is a public research university founded in 1899. NAU offers over 100 doctoral programs and enrolls over 4,500 graduate students. The school is ranked 57th on the list of the most innovative schools in the United States by US News & World Report. 

PhD in Informatics and Computing

PhD students enrolled in this program have the choice of specializing in Bioengineering Informatics, Cyber and Software Systems, Ecological and Environmental Informatics, or Health and Bioinformatics. Degree requirements include research, preparing and defending a dissertation, comprehensive exams, and completing 60 to 109 credit units of graduate courses. 

PhD in Informatics Overview

  • Tuition and Fees : $12,250/year (in state); $28,240/year (out of state)
  • PhD Funding Opportunities : CEIAS Scholarship, VMWare Scholarship, employee tuition reduction, and graduate assistantships and tuition waivers

PhD in Informatics Admission Requirements

  • Personal statement or essay
  • Relevant expertise in informatics

The University of Arizona is a public research university founded in 1885 by the Arizona Territorial Legislature. It was the first higher learning institution in the state. As a member of the Association of American Universities and the Universities Research Association, UA offers numerous top-quality doctoral degree programs. Top PhD programs include audiology, education, natural sciences, nursing, and musical arts.

PhD in Biostatistics

UA's biostatistics PhD program covers topics such as bioinstrumentation, molecular biophysics, interfacial biosystems engineering, polymeric science and engineering, and neural and neuromuscular prostheses. To get a PhD degree in this specialization, students must complete 74 credits of coursework, a dissertation, and qualifying examinations.

PhD in Biostatistics Overview

  • Program Length : 6 to 7 years
  • Acceptance Rate : 81.82%
  • Tuition : $13,400/year (in state); $33,600/year (out of state)
  • PhD Funding Opportunities : Graduate scholarships and assistantships, Named scholarships, and the Western Regional Graduate Program

PhD in Biostatistics Admission Requirements

  • Master’s Degree in Statistics, Biostatistics, or a relevant field 
  • 3.2 minimum GPA
  • Statement of purpose, writing sample, and a mission and values statement
  • Documented experience in computer programming (C++, Java, Python, or R programming languages) highly recommended

The University of California, Los Angeles (UCLA) was founded in 1882 as a teacher's college. Today, UCLA provides over 120 graduate programs to 6,000 newly admitted graduate students per year. Numerous graduate programs at UCLA are repeatedly ranked among the top programs in the world. 

PhD in Bioinformatics

Students in this program will enjoy research, training, and collaboration opportunities with some of the most expert faculty and professionals in the world of bioinformatics. Students have access to one of the largest computer grids in the US to explore topics like human genome evolution, population genetics, and computational methods to analyze epigenomic data. 

  • Acceptance Rate : 28%
  • Tuition and Fees : $17,756/year (in state); $32,858/year (out of state)
  • PhD Funding Opportunities : Graduate assistantships, training grants, GEM Fellowship, UC HBCU Initiative, Dissertation Year Fellowship, and graduate student researcher positions
  • Current Resume
  • GRE exam scores (optional)

The University of Ilinois at Chicago was established in 1965 and enrolls over 33,000 students. Located on the West Side of Chicago, UIC is Chicago’s only public research university and is recognized for its cultural diversity. UIC’s graduate school departments offer 61 different doctoral programs to students in a wide range of fields. 

Core topics of this 108-credit program include machine learning, the principles of bioinformatics, and statistical mechanics in biological systems. Students of this program will complete and defend a dissertation, pass preliminary and qualifying exams, and complete at least two research seminars before graduation to obtain the PhD. 

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PhD in Bioinformatics Overview

  • Program Length : N/A
  • Tuition and Fees : $5,935/semester (in state); $12,369/semester (out of state)
  • PhD Funding Opportunities : Teaching assistantships, research assistantships, tuition waivers, and fellowships
  • Bachelor’s or Master’s Degree in Physics, Mathematics, Science, or a related field 
  • Personal Statement

The University of Miami is a private research university established in South Florida in 1925. The university enrolls over 17,000 students in over 12 schools and colleges. It is known for its extensive undergraduate and doctoral programs in marine science, psychology, education, engineering, and medicine. 

PhD in Biomedical Engineering

The University of Miami takes biomedical engineering PhD students through key topics such as neurophysiology, cellular and molecular biology, and anatomy. Students of this 60-credit program are required to complete and defend a dissertation, pass oral qualifying exams, and publish at least two pieces of research. Graduates will be prepared for careers in academic or independent research in biomedical engineering.

PhD in Biomedical Engineering Overview

  • Tuition and Fees : $19,917/semester
  • PhD Funding Opportunities : UM Fellowship, Maytag Fellowship, and Dean’s Fellowship

PhD in Biomedical Engineering Admission Requirements

  • Master's Degree in Biomedical Engineering or highly qualified candidates with a bachelor’s degree in a related scientific field

The University of Utah was founded in 1850 as the University of Deseret. It now hosts over 8,000 graduate students in more than 100 master’s and doctoral programs. The University of Utah has become a leader in the world of biomedical informatics since its program’s founding in 1964. 

Students in this program will cover the fundamentals of informatics and explore core coursework topics including translational informatics, grant writing, healthcare informatics, and statistics for biomedicine. The program is fully funded by the university and students will have the option of specializing in an informatics field of choice. 

PhD in Biomedical Informatics Overview

  • Program Length : 3 to 4 years
  • PhD Funding Opportunities : Program fully funded by the University of Utah with a $29,710 yearly stipend

PhD in Biomedical Informatics Admission Requirements

  • 3.0 Minimum GPA 
  • Approval by the department administration standards

Can You Get a PhD in Bioinformatics Online?

Yes, you can get a PhD in Bioinformatics online. Since the research work is computational, you can obtain your doctoral degree remotely as long as you fulfill all of the graduation requirements. However, you may have to apply to universities or colleges outside of your state to access online bioinformatics PhD programs.

Best Online PhD Programs in Bioinformatics

How long does it take to get a phd in bioinformatics.

Generally, it takes four to six years to complete a PhD in Bioinformatics. However, depending on the university and the specialization you pursue, you can spend three to five years completing the program. Certain programs will take more time than others, and online or part-time programs can often take longer to finish than full-time, on-campus programs.

Is a PhD in Bioinformatics Hard?

Yes, earning a PhD in Bioinformatics is hard. Students pursuing this degree must complete intensive coursework, exams, and other requirements such as a dissertation or thesis. Moreover, some departments will demand prior requirements such as computer programming and mathematical skills, which can be challenging to acquire.

It takes a lot of effort to obtain a PhD in Bioinformatics. Nonetheless, the effort is worth it. With hard work and time, obtaining a bioinformatics PhD is feasible.

How Much Does It Cost to Get a PhD in Bioinformatics?

The average tuition for a bioinformatics PhD program is $19,315 per year across all higher education institutions, according to the National Center for Education Statistics.

However, this value varies depending on the university. Some institutions will fund their bioinformatics PhD students completely, while others may ask for higher or lower tuition costs than the stated figures. Attending a private institution is often more expensive than a public institution, and it is best to research the costs and funding opportunities available for both.

How to Pay for a PhD in Bioinformatics: PhD Funding Options

The PhD funding options that students can take advantage of to pay for a PhD in Bioinformatics degree program include scholarships, graduate assistantships, fellowships, and tuition waivers. Some institutions, like the University of Utah and Johns Hopkins University, offer enrolled students fully-funded tuition, a yearly stipend, and health insurance.

Best Online Master’s Degrees

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What Is the Difference Between a Bioinformatics Master’s Degree and PhD?

The difference between a bioinformatics master’s degree and a PhD is the content of the curriculum and the number of years required to complete the program. While master’s degree programs typically take around two years, PhDs take an extended period of up to six or seven years.

Bioinformatics master’s degrees will cover foundational concepts, but PhDs focus on advanced knowledge and specialized, applicable skills in the field. Additionally, PhDs offer superior job positions compared to master’s degrees because they are the highest form of educational qualification one can have in a particular field of study.

Master’s vs PhD in Bioinformatics Job Outlook

The employment rate for bioengineers, a profession that typically only requires a bachelor’s or master’s degree, is projected to grow by six percent in the next decade , according to the Bureau of Labor Statistics. This is much lower than the rate of employment growth for bioinformatics scientists, which is expected to increase by 22 percent .

This shows that the demand for PhD degree candidates in the bioinformatics field is higher than that of master’s degree holders. Having a PhD in Bioinformatics makes you the most qualified candidate for most positions and you can be assured of securing numerous lucrative career opportunities.

Difference in Salary for Bioinformatics Master’s vs PhD

A PhD in Bioinformatics graduate earns an average base salary of $116,000 per year, according to PayScale. This does not include the numerous benefits and perks of this position. Moreover, some cities offer higher pay, such as San Francisco, San Diego, and New York.

With a Master’s Degree in Bioinformatics, candidates earn an average annual salary of $83,000. A PhD in Bioinformatics graduate earns almost double the salary of a master’s degree holder.

Related Bioinformatics Degrees

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Why You Should Get a PhD in Bioinformatics

You should get a PhD in Bioinformatics to enjoy the numerous benefits of this qualification. With a PhD, you will become a certified expert in the field. Below are some of top the reasons you should consider pursuing a bioinformatics PhD.

Reasons for Getting a PhD in Bioinformatics

  • Career development . A PhD in Bioinformatics is essential to secure senior positions in the field. This doctoral degree proves that you have the relevant knowledge and skills to handle top positions in renowned companies, and gives you an edge over the competition in the job market.
  • Academic achievement . Aside from securing a dream job, some people feel most accomplished when achieving their academic goals. You can pursue a PhD in Bioinformatics to improve your skills and intensive knowledge in this scientific field.
  • Innovative health projects . The best bioinformatics degree programs will equip you with new knowledge and skills in science, computing, and health. You can utilize these skills to work on groundbreaking projects, such as finding a biological solution or cure to a disease.
  • Higher earning potential . A PhD automatically increases a degree holder’s earning potential, and can lead to salaries that are double what they would be with a bachelor’s or master’s degree.

Getting a PhD in Bioinformatics: Bioinformatics PhD Coursework

A principal scientist in a laboratory holding a beaker and working on a biotech project.

Getting a PhD in Bioinformatics requires candidates to complete core bioinformatics PhD coursework in mathematics, statistics, computing, and biology. Below are a few of the most common core courses you may see in a bioinformatics PhD program curriculum.

Introduction to Bioinformatics

This course introduces students to the fundamental concepts of bioinformatics. It teaches about the different tools and techniques used in the field and how they are applied. It is typically a combination of theory and practical skills and topics for students to gain hands-on experience applying bioinformatics tools and solutions.

Bioinformatics Resources and Databases

This course involves the study of biological databases, data formats, ontologies, and biological resources. This course helps you learn how to obtain and apply different databases to find solutions in the field.

This course focuses on teaching students how to learn Linux , an operating system that is heavily utilized in the field of bioinformatics. It covers the introduction to Linux, Linux environment, command-line interface, manipulating files and directories, navigating Linux directory structure, and primary Linux commands.

Multiple Sequence Alignment

This course introduces students to multiple sequence alignment theory (MSA), and a protein, DNA, or RNA biological sequence alignment. Students will learn about visualization and assessment of MSA quality, and how to use proper tools for MSA analysis.

Molecular Evolution and Phylogenetics

A course in molecular evolution and phylogenetics focuses on how different species and genes are related. The course will cover introductory and overview methods of molecular evolution and phylogenetic approaches.

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How to Get a PhD in Bioinformatics: Doctoral Program Requirements

When undertaking a PhD in Bioinformatics, you’ll have to fulfill all of the doctoral program requirements. Whether you are pursuing a PhD in Informatics and Computing, Information Science, or Pathobiology, below are the typical requirements you’ll need to fulfill to get your degree.

A PhD in Bioinformatics program will state the total credit hours you’ll have to complete to obtain your doctoral degree, as well as any required publication or research work. Programs can have credit requirements from 65 to over 100 credit hours. Many graduate assistantships or fully-funded programs will require students to publish articles in peer-reviewed journals or assist faculty in research.

Like many other degrees, PhD in Bioinformatics programs require multiple comprehension and qualifying exams for students to test whether they've mastered different key concepts in the field. To receive your Doctor of Philosophy degree, you must pass the preliminary and qualifying exams. 

As a highly-qualifying program of study, the best universities offering PhD in Bioinformatics degrees usually require a minimum GPA that candidates must maintain. Some programs will not allow candidates to graduate or will suspend funding or assistantships if a certain GPA is not met throughout their studies. 

Each bioinformatic PhD program entails certain coursework that students must complete in order to be certified in a specific area. This coursework is typically divided into different units in the curriculum, such as core courses, research and dissertation hours, and elective courses. 

Before enrolling in any PhD program, you should research the course curriculum in the school catalog to ensure that the curriculum is a good fit for your interests and career goals. 

Perhaps the most vital requirement for a bioinformatics PhD is the thesis or dissertation. A dissertation is a research project where students answer a particular question or solve a problem that is relevant to their field of study. 

The dissertation usually has to be orally defended in front of the department, and this allows the faculty to evaluate whether the candidate has acquired the necessary research skills to enable them to find a solution to real-world problems and situations. 

Potential Careers With a Bioinformatics Degree

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PhD in Bioinformatics Salary and Job Outlook

A PhD in Bioinformatics degree increases your qualifications for employment and your earning potential significantly. The job outlook for PhD holders in this field is 22 percent more than the national average for all other occupations. Therefore, you can always find a viable career opportunity in the field, from teaching in a university to industry research.

What Can You Do With a PhD in Bioinformatics?

With a PhD in Bioinformatics, you can join leading experts in many different career paths. You can also enjoy top-paying job opportunities with numerous benefits and exclusive perks to boost your productivity, job satisfaction, and career development. Below are some of the best bioinformatics jobs available to graduates.

Best Jobs with a PhD in Bioinformatics

  • Computer and Information Research Scientist
  • Postsecondary Teacher
  • Bioinformatician
  • Senior Research Scientist
  • Principal Investigator/Clinical Research

What Is the Average Salary for a PhD in Bioinformatics?

The average PhD in Bioinformatics salary is $116,000 per year , according to PayScale. This value can vary depending on your location and the company you work for. Check out some of the best high-paying bioinformatics jobs below.

Highest-Paying Bioinformatics Jobs for PhD Grads

Best bioinformatics jobs with a doctorate.

The job opportunities for candidates with a PhD in Bioinformatics are endless. Below you’ll find information regarding job duties, job outlook, and annual salary information for some of the best jobs available in the field of bioinformatics.

Computer and information research scientists use their analytical and statistics skills to identify and improve computing problems in a wide range of industries. Job duties of these professionals can include working with scientists to identify and solve a technological problem and utilizing machine learning and data science concepts to conduct experiments and tests. 

  • Salary with a Bioinformatics PhD : $131,490
  • Job Outlook : 22% job growth from 2020 to 2030
  • Number of Jobs : 33,000
  • Highest-Paying States : Oregon, Arizona, and Texas

Principal or head scientists often lead teams of qualified research professionals that collect data on different phenomenons, from genetic sequencing to hereditary diseases. Their expertise and dedication to science allow them to properly analyze and predict trends, and they generally focus on advancing the scientific field itself as opposed to the profits of an industry. 

  • Salary with a Bioinformatics PhD : $125,801
  • Job Outlook : 17% job growth from 2020 to 2030
  • Number of Jobs : 133,900
  • Highest-Paying States : Connecticut, Maine, and Delaware

Senior research scientists in biotechnology engage in biology, mathematics, computer science, and/or chemistry research operations for companies, organizations, or universities. They often focus on academic and industrial projects to create new products or systems and conduct experiments to analyze developments in the field. 

  • Salary with a Bioinformatics PhD : $108,465

Bioengineers work with computing and data science, engineering, and human health. These professionals typically work in research to develop new statistical models, software, or even drugs and cures to diseases, or quality assurance to test and inspect computer systems, equipment, and processes to ensure safety and effectiveness. 

  • Salary with a Bioinformatics PhD : $97,410
  • Job Outlook : 6% job growth from 2020 to 2030
  • Number of Jobs : 19,300
  • Highest-Paying States : New Mexico, Arizona, and Minnesota

Principle investigators in clinical research often work in laboratories and lead a team of scientists to conduct clinical research and tests regarding different diseases or medical phenomena. Objectives vary by field, but the principal investigator is in charge of assisting and offering guidance to team members and offering expertise in the research process. 

  • Salary with a Bioinformatics PhD : $85,000

Is a PhD in Bioinformatics Worth It?

Yes, a PhD in Bioinformatics is worth it. With this doctoral qualification, you will stand out from other candidates, as a PhD degree proves that you have specialized, expert knowledge and skills to perform any role in bioinformatics exceptionally. With a high-earning potential in a growing field, pursuing a PhD in Bioinformatics will prove to be more than worth it.

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PhD in Bioinformatics FAQ

Yes, you can get a top-quality PhD in Bioinformatics online at schools like Bircham International University, Rutgers University, and George Mason University. These institutions allow you to pursue your Doctor of Philosophy in Bioinformatics remotely and at your own pace.

The most affordable PhD in Bioinformatics programs are those that are fully funded by the university. These programs include the PhD in Pathobiology offered by Johns Hopkins and the PhD in Biomedical Informatics program at the University of Utah. These two universities cover the full tuition amount and even provide students with a yearly stipend to cater to other needs.

No, you typically cannot get an application fee back after you withdraw your application. Most application fees are non-refundable because they facilitate the entire evaluation process and prove to the department that you are serious about attending the program.

No, a Master’s Degree in Bioinformatics is not always a mandatory admission requirement. Many universities will accept candidates for bioinformatics PhD programs as long as they have a master’s degree in a relevant course, and other universities will accept highly qualified candidates with only a bachelor’s degree.

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University of Delaware

PhD in Bioinformatics Data Science

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A Ph.D. in Bioinformatics Data Science will train the next-generation of researchers and professionals who will play a key role in multi- and interdisciplinary teams, bridging life sciences and computational sciences. Students will receive training in experimental, computational and mathematical disciplines through their coursework and research. Students who complete this degree will be able to generate and analyze experimental data for biomedical research as well as develop physical or computational models of the molecular components that drive the behavior of the biological system.

Students must complete a minimum of 15 hours of coursework, plus 3 credit hours of seminar, 6 credit hours of research and 9 credit hours of doctoral dissertation. The Ph.D. requires a minimum of 33 credits. Students who are admitted directly after a B.S. degree will be required to complete up to 9 additional credits in order to fulfill the core curriculum in the following areas: Database Systems, Statistics, and Introduction to Discipline. In addition, if students entering the program with an M.S. degree are lacking equivalent prerequisites, they also will be required to complete courses in these three areas; however, these courses may fulfill the elective requirement in the Ph.D. program, if approved in the program of study.

Academic Load

PhD students holding research assistantships (or teaching) are considered full-time with 6 credit hours . Students without RA or TA  are considered full-time if enrolled in at least 9 credit hours or in sustaining credit. Those enrolled for fewer than 9 credit hours are considered part-time students. Generally, a maximum load is 12 graduate credit hours; however, additional credit hours may be taken with the approval of the student’s adviser and the Graduate College. A maximum course load in either summer or winter session is 7 credit hours. Permission must be obtained from the Graduate College to carry an overload in any session. 

Bioinformatics Data Science Courses

Students must take one course in each of the following areas (9 credits):

Prerequisites

Students must fulfill core curriculum in each of the following areas (3-9 credits):

Elective Courses

Students must take two courses to compliment their bioinformatics data science dissertation project (6 credits): 

See Elective courses

Students must take six semesters of seminar (three 0 credit; three 1 credit) and give a presentation during three semesters.

Other Requirements:

  • Formation of Graduate Dissertation Committee
  • Successful completion of Graduate Preliminary Exam
  • Research on a significant scientific problem
  • Successful completion of Ph.D. Candidacy Exam
  • Successful completion of Dissertation Defense

Formation of Graduate Committee

The student needs to establish a Dissertation Committee within the first year of study. The Committee should consist of at least four faculty members, including the primary faculty advisor (serving as the Committee Chair), a secondary faculty advisor (in a complementary field to the primary advisor), a second faculty from the home department, and one CBCB affiliate faculty outside the Departments of the primary and secondary advisors or from outside the University. Students must complete the Dissertation Committee Formation form and submit to the Associate Director.

Students should convene their dissertation committee at least once every six months.

Preliminary Examination

The preliminary examination should be taken before the end of the fourth semester and will consist of an oral exam in subjects based on the Bioinformatics Data Science core.* In recognition of the importance of the core curriculum in providing a good test of the student’s knowledge, students must achieve a minimum 3.0 GPA in the core curriculum before taking the preliminary exam. Students will not be permitted to take the preliminary examination if the core grade requirements and cumulative GPA of 3.0 has not been achieved. The exam will be administered by the Preliminary Exam Committee , which will consist of one instructor from each of the three core courses. Each member of the Committee will provide a single grade (pass, conditional pass or fail) and the final grades will be submitted via the Results of Preliminary Exam Form :

  • Pass . The student may proceed to the next stage of his/her degree training.
  • Conditional pass . In the event that the examination committee feels that the student did not have an adequate background or understanding in one or more specific areas, the Preliminary Exam Committee will communicate the conditional pass to the student and must provide the student with specific requirements and guidelines for completing the conditional pass. The student must inform the Preliminary Exam Committee, the Graduate Program Director and Program Committee when these conditions have been completed. The Preliminary Exam Committee will then meet with the student to ensure all recommendations have been completed and whether a re-examination is necessary. If required, the re-examination will be done using the same format and prior to the beginning of the next academic semester. If the student still does not perform satisfactorily on this re-examination, he/she will then be recommended to the Graduate Affairs Committee for dismissal from the graduate program.
  • Failure . This outcome would indicate that the Examination Committee considers the student incapable of completing degree training. The student’s academic progress will be reviewed by the Graduate Affairs Committee, who will make recommendations to the Program Director regarding the student’s enrollment status. The Program Director may recommend to the Graduate College that the student be dismissed from the Program immediately.

*Students who need to complete prerequisite courses may request a deadline extension for the preliminary and subsequently the candidacy examination. Requests must be submitted to the Graduate Program Committee prior to the start of the third semester.

Candidacy Exam

The candidacy examination must be completed by the end of the sixth semester of enrollment.* It requires a formal, detailed proposal be submitted to the Dissertation Committee and an oral defense of the student’s proposed research project. Upon the recommendation of the Dissertation Committee, the student may be admitted to candidacy for the Ph.D. degree. The stipulations for admission to doctoral candidacy are that the student has (i) completed one academic years of full-time graduate study in residence at the University of Delaware, (ii) completed all required courses with the exception of BINF865 and BINF969, (iii) passed the preliminary exams, (iv) demonstrated the ability to perform research, and (v) had a research project accepted by the Dissertation Committee. Within one week of the candidacy exam, complete and submit the Recommendation for Candidacy for Doctoral Degree form for details. A copy of the completed form should be given to the Associate Director.

*Students who need to complete prerequisite courses may request a deadline extension for the preliminary and subsequently the candidacy examination.  Requests must be submitted to the Graduate Program Committee prior to the start of the third semester.

Dissertation Exam

The dissertation examination of the Ph.D. program will involve the approval of the written dissertation and an oral defense of the candidate’s dissertation.  The written dissertation will be submitted to the Dissertation Committee and the CBCB office at least three weeks in advance of the oral defense date.  The oral defense date will be publicly announced at least two weeks prior to the scheduled date. The oral presentation will be open to the public and all members of the Bioinformatics Data Science program. The Dissertation Committee will approve the candidate’s dissertation. The student and the primary faculty advisor will be responsible for making all corrections to the dissertation document and for meeting all Graduate College deadlines.  Within one week of the dissertation defense, complete and submit the Certification of Doctoral Dissertation Defense Form. A copy of the completed form should be given to the Associate Director.

University Catalog 2023-2024

Bioinformatics (phd), degree requirements, full professors.

  • Jose Miguel Alonso
  • Christopher M. Ashwell
  • David M. Bird
  • Donald L. Bitzer
  • Russell J. Borski
  • Matthew Breen
  • Dennis T. Brown
  • Ignazio Carbone
  • Marie Davidian
  • Robert Graham Franks
  • Sujit K. Ghosh
  • Amy Michele Grunden
  • Jason M. Haugh
  • Jacqueline M. Hughes-Oliver
  • Erich L. Kaltofen
  • Robert M. Kelly
  • Matthew D. Koci
  • Cristina Lanzas
  • Hsiao-Ching Liu
  • Christian Maltecca
  • Earl S. Maxwell
  • Melissa Schuster Merrill
  • David C. Muddiman
  • Spencer V. Muse
  • Charles H. Opperman
  • James N. Petitte
  • Robert M. Petters
  • Jorge A. Piedrahita
  • Brian J. Reich
  • Maria C. Sagui
  • Barbara Sherry
  • Seth M. Sullivant
  • Jeffrey L. Thorne
  • Jung-Ying Tzeng
  • Mladen Alan Vouk
  • Ross W. Whetten
  • Fred Andrew Wright
  • Qiuyun Xiang
  • Zhaobang Zeng
  • Daowen Zhang

Associate Professors

  • David Lawrence Aylor
  • Nicolas Buchler
  • Gavin Clay Conant
  • Michael B. Goshe
  • Steffen Heber
  • Slavko Komarnytsky
  • David S. Lalush
  • Terri A. Long
  • Arnab Maity
  • Flora Meilleur
  • Dahlia M. Nielsen
  • Jonathan W. Olson
  • Xinxia Peng
  • David Michael Reif
  • Michael L. Sikes
  • Charles Eugene Smith
  • Lori June Unruh Snyder

Assistant Professors

  • Hamid Ashrafi
  • Louis-Marie Bobay
  • Benjamin J. Callahan
  • Abdulkerim Eroglu
  • Rafael Felipe Guerrero Farias
  • Denis Fourches
  • Joseph Lee Gage
  • Caitlin Heil
  • Amanda Marie Hulse
  • Jicai Jiang
  • Xingchen Lin
  • Kurt Marsden
  • David Rasmussen
  • Christina Zakas

Practice/Research/Teaching Professors

  • Patricia A. Estes
  • Jane L. Lubischer

Emeritus Faculty

  • William Reid Atchley
  • Wendy F. Boss
  • Rebecca S. Boston
  • James W. Brown
  • Vincent L. C. Chiang
  • Eugene Eisen
  • Todd Robert Klaenhammer
  • Wayne Tompkins
  • Anastasios A. Tsiatis
  • Paul L. Wollenzien

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Center for Computational Biology

Computational Biology PhD

The main objective of the Computational Biology PhD is to train the next generation of scientists who are both passionate about exploring the interface of computation and biology, and committed to functioning at a high level in both computational and biological fields.

The program emphasizes multidisciplinary competency, interdisciplinary collaboration, and transdisciplinary research, and offers an integrated and customizable curriculum that consists of two semesters of didactic course work tailored to each student’s background and interests, research rotations with faculty mentors spanning computational biology’s core disciplines, and dissertation research jointly supervised by computational and biological faculty mentors.

The Computational Biology Graduate Group facilitates student immersion into UC Berkeley’s vibrant computational biology research community. Currently, the Group includes over 46 faculty from across 14 departments of the College of Letters and Science, the College of Engineering, the College of Natural Resources, and the School of Public Health. Many of these faculty are available as potential dissertation research advisors for Computational Biology PhD students, with more available for participation on doctoral committees.

bioinformatics phd programs usa

The First Year

The time to degree (normative time) of the Computational Biology PhD is five years. The first year of the program emphasizes gaining competency in computational biology, the biological sciences, and the computational sciences (broadly construed). Since student backgrounds will vary widely, each student will work with faculty and student advisory committees to develop a program of study tailored to their background and interests. Specifically, all first-year students must:

  • Perform three rotations with Core faculty (one rotation with a non-Core faculty is acceptable with advance approval)
  • Complete course work requirements (see below)
  • Complete a course in the Responsible Conduct of Research
  • Attend the computational biology seminar series
  • Complete experimental training (see below)

Laboratory Rotations

Entering students are required to complete three laboratory rotations during their first year in the program to seek out a Dissertation Advisor under whose supervision dissertation research will be conducted. Students should rotate with at least one computational Core faculty member and one experimental Core faculty member. Click here to view rotation policy. 

Course Work & Additional Requirements

Students must complete the following coursework in the first three (up to four) semesters. Courses must be taken for a grade and a grade of B or higher is required for a course to count towards degree progress:

  • Fall and Spring semester of CMPBIO 293, Doctoral Seminar in Computational Biology
  • A Responsible Conduct of Research course, most likely through the Department of Molecular and Cell Biology.
  • STAT 201A & STAT 201B : Intro to Probability and Statistics at an Advanced Level. Note: Students who are offered admission and are not prepared to complete STAT 201A and 201B will be required to complete STAT 134 or PH 142 first.
  • CS61A : The Structure and Interpretation of Computer Programs. Note: students with the equivalent background can replace this requirement with a more advanced CS course of their choosing.
  • 3 elective courses relevant to the field of Computational Biology , one of which must be at the graduate level (see below for details).
  • Attend the computational biology invited speaker seminar series. A schedule is circulated to all students by email and is available on the Center website. Starting with the 2023 entering class, CCB PhD students must enroll in CMPBIO 275: Computational Biology Seminar , which provides credit for this seminar series.
  • 1) completion of a laboratory course at Berkeley with a minimum grade of B,
  • 2) completion of a rotation in an experimental lab (w/ an experimental project), with a positive evaluation from the PI,
  • a biological sciences undergraduate major with at least two upper division laboratory-based courses,
  • a semester or equivalent of supervised undergraduate experimental laboratory-based research at a university,
  • or previous paid or volunteer/internship work in an industry-based experimental laboratory.

Students are expected to develop a course plan for their program requirements and to consult with the Head Graduate Advisor before the Spring semester of their first year for formal approval (signature required). The course plan will take into account the student’s undergraduate training areas and goals for PhD research areas.

Satisfactory completion of first year requirements will be evaluated at the end of the spring semester of the first year. If requirements are satisfied, students will formally choose a Dissertation advisor from among the core faculty with whom they rotated and begin dissertation research.

Waivers: Students may request waivers for the specific courses STAT 201A, STAT 201B, and CS61A. In all cases of waivers, the student must take alternative courses in related areas so as to have six additional courses, as described above. For waiving out of STAT 201A/B, students can demonstrate they have completed the equivalent by passing a proctored assessment exam on Campus. For waiving out CS61A, the Head Graduate Advisor will evaluate student’s previous coursework based on the previous course’s syllabus and other course materials to determine equivalency.

Electives: Of the three electives, students are required to choose one course in each of the two following cluster areas:

  • Cluster A (Biological Science) : These courses are defined as those for which the learning goals are primarily related to biology. This includes courses covering topics in molecular biology, genetics, evolution, environmental science, experimental methods, and human health. This category may also cover courses whose focus is on learning how to use bioinformatic tools to understand experimental data.
  • Cluster B (Computational Sciences): These courses are defined as those for which the learning goals involve computing, inference, or mathematical modeling, broadly defined. This includes courses on algorithms, computing languages or structures, mathematical or probabilistic concepts, and statistics. This category would include courses whose focus is on biological applications of such topics.

In the below link we give some relevant such courses, but students can take courses beyond this list; for courses not on this list, the Head Graduate Advisor will determine to which cluster a course can be credited. For classes that have significant overlap between these two clusters, the department which offers the course may influence the decision of the HGA as to whether the course should be assigned to cluster A or B.

See below for some suggested courses in these categories:

Suggested Coursework Options

Second Year & Beyond

At the beginning of the fall of the second year, students begin full-time dissertation research in earnest under the supervision of their Dissertation advisor. It is anticipated that it will take students three (up to four) semesters to complete the 6 course requirement. Students are required to continue to participate annually in the computational biology seminar series.

Qualifying Examination

Students are expected to take and pass an oral Qualifying Examination (QE) by the end of the spring semester (June 15th) of their second year of graduate study. Students must present a written dissertation proposal to the QE committee no fewer than four weeks prior to the oral QE. The write-up should follow the format of an NIH-style grant proposal (i.e., it should include an abstract, background and significance, specific aims to be addressed (~3), and a research plan for addressing the aims) and must thoroughly discuss plans for research to be conducted in the dissertation lab. Click here for more details on the guidelines and format for the QE. Click here to view the rules for the composition of the committee and the form for declaring your committee.

Advancement to Candidacy

After successfully completing the QE, students will Advance to Candidacy. At this time, students select the members of their dissertation committee and submit this committee for approval to the Graduate Division. Students should endeavor to include a member whose research represents a complementary yet distinct area from that of the dissertation advisor (ie, biological vs computational, experimental vs theoretical) and that will be integrated in the student’s dissertation research. Click here to view the rules for the composition of the committee and the form for declaring your committee.

Meetings with the Dissertation Committee

After Advancing to Candidacy, students are expected to meet with their Dissertation Committee at least once each year.

Teaching Requirements

Computational Biology PhD students are required to teach at least two semesters (starting with Fall 2019 class), but may teach more. The requirement can be modified if the student has funding that does not allow teaching. Starting with the Fall 2019 class: At least one of those courses should require that you teach a section. Berkeley Connect or CMPBIO 293 can count towards one of the required semesters.

The Dissertation

Dissertation projects will represent scholarly, independent and novel research that contributes new knowledge to Computational Biology by integrating knowledge and methodologies from both the biological and computational sciences. Students must submit their dissertation by the May Graduate Division filing deadline (see Graduate Division for date) of their fifth–and final–year.

Special Requirements

Students will be required to present their research either orally or via a poster at the annual retreat beginning in their second year.

  • Financial Support

The Computational Biology Graduate Group provides a competitive stipend (the stipend for 2023-24 is $43,363) as well as full payment of fees and non-resident tuition (which includes health care). Students maintaining satisfactory academic progress are provided full funding for five to five and a half years. The program supports students in the first year, while the PI/mentor provides support from the second year on. A portion of this support is in the form of salary from teaching assistance as a Graduate Student Instructor (GSI) in allied departments, such as Molecular and Cell Biology, Integrative Biology, Plant and Microbial Biology, Mathematics, Statistics or Computer Science. Teaching is part of the training of the program and most students will not teach more than two semesters, unless by choice.

Due to cost constraints, the program admits few international students; the average is two per year. Those admitted are also given full financial support (as noted above): stipend, fees and tuition.

Students are also strongly encouraged to apply for extramural fellowships for the proposal writing experience. There are a number of extramural fellowships that Berkeley students apply for that current applicants may find appealing. Please note that the NSF now only allows two submissions – once as an undergrad and once in grad school. The NSF funds students with potential, as opposed to specific research projects, so do not be concerned that you don’t know your grad school plans yet – just put together a good proposal! Although we make admissions offers before the fellowships results are released, all eligible students should take advantage of both opportunities to apply, as it’s a great opportunity and a great addition to a CV.

  • National Science Foundation Graduate Research Fellowship (app deadlines in Oct)
  • Hertz Foundation Fellowship (app deadline Oct)
  • National Defense Science and Engineering Graduate Fellowship (app deadline in mid-Fall)
  • DOE Computational Science Graduate Fellowship (Krell Institute) (app deadline in Jan)

CCB no longer requires the GRE for admission (neither general, nor subject). The GRE will not be seen by the review committee, even if sent to Berkeley.

PLEASE NOTE: The application deadline is Wednesday, November 30 , 2023, 8:59 PST/11:59 EST

If you would like to learn more about our program, you can watch informational YouTube videos from the past two UC Berkeley Graduate Diversity Admissions Fairs: 2021 recording & 2020 recording .

We invite applications from students with distinguished academic records, strong foundations in the basic biological, physical and computational sciences, as well as significant computer programming and research experience. Admission for the Computational Biology PhD is for the fall semester only, and Computational Biology does not offer a Master’s degree.

We are happy to answer any questions you may have, but please be sure to read this entire page first, as many of your questions will be answered below or on the Tips tab.

IMPORTANT : Please note that it is not possible to select a specific PhD advisor until the end of the first year in the program, so contacting individual faculty about openings in their laboratories will not increase your chances of being accepted into the program. You will have an opportunity to discuss your interests with relevant faculty if you are invited to interview in February.

Undergraduate Preparation

Minimum requirements for admission to graduate study:

  • A bachelor’s degree or recognized equivalent from an accredited institution.
  • Minimum GPA of 3.0.
  • Undergraduate preparation reflecting a balance of training in computational biology’s core disciplines (biology, computer science, statistics/mathematics), for example, a single interdisciplinary major, such as computational biology or bioinformatics; a major in a core discipline and a combination of interdisciplinary course work and research experiences; or a double major in core disciplines.
  • Basic research experience and aptitude are key considerations for admission, so evidence of research experience and letters of recommendation from faculty mentors attesting to the applicant’s research experience are of particular interest.
  • GRE – NOT required or used for review .
  • TOEFL scores for international students (see below for details).

Application Requirements

ALL materials, including letters, are due November 30, 2023 (8:59 PST). More information is provided and required as part of the online application, so please create an account and review the application before emailing with questions (and please set up an account well before the deadline):

  • A completed graduate application: The online application opens in early or mid-September and is located on the Graduate Division website . Paper applications are not accepted. Please create your account and review the application well ahead of the submit date , as it will take time to complete and requests information not listed here.
  • A nonrefundable application fee: The fee must be paid using a major credit card and is not refundable. For US citizens and permanent residents, the fee is $135; US citizens and permanent residents may request a fee waiver as part of the online application. For all other students (international) the fee is $155 (no waivers, no exceptions). Graduate Admissions manages the fee, not the program, so please contact them with questions.
  • Three letters of recommendation, minimum (up to five are accepted): Letters of recommendation must be submitted online as part of the Graduate Division’s application process. Letters are also due November 30, so please inform your recommenders of this deadline and give them sufficient advance notice. It is your responsibility to monitor the status of your letters of recommendation (sending prompts, as necessary) in the online system.
  • Transcripts: Unofficial copies of all relevant transcripts, uploaded as part of the online application (see application for details). Scanned copies of official transcripts are strongly preferred, as transcripts must include applicant and institution name and degree goal and should be easy for the reviewers to read (print-outs from online personal schedules can be hard to read and transcripts without your name and the institution name cannot be used for review). Do not send via mail official transcripts to Grad Division or Computational Biology, they will be discarded.
  • Essays: Follow links to view descriptions of what these essays should include ( Statement of Purpose [2-3 pages], Personal Statement [1-2 pages]). Also review Tips tab for formatting advice.
  • (Highly recommended) Applicants should consider applying for extramural funding, such as NSF Fellowships. These are amazing opportunities and the application processes are great preparation for graduate studies. Please see Financial Support tab.
  • Read and follow all of the “Application Tips” listed on the last tab. This ensures that everything goes smoothly and you make a good impression on the faculty reviewing your file.

The GRE general test is not required. GRE subject tests are not required. GRE scores will not be a determining factor for application review and admission, and will NOT be seen by the CCB admissions committee. While we do not encourage anyone to take the exam, in case you decide to apply to a different program at Berkeley that does require them: the UC Berkeley school code is 4833; department codes are unnecessary. As long as the scores are sent to UC Berkeley, they will be received by any program you apply to on campus.

TOEFL/IELTS

Adequate proficiency in English must be demonstrated by those applicants applying from countries where English is not the official language. There are two standardized tests you may take: the Test of English as a Foreign Language (TOEFL), and the International English Language Testing System (IELTS). TOEFL minimum passing scores are 90 for the  Internet-based test (IBT) , and 570 for the paper-based format (PBT) . The TOEFL may be waived if an international student has completed at least one year of full-time academic course work with grades of B or better while in residence at a U.S. university (transcript will be required). Please click here for more information .

Application Deadlines

The Application Deadline is 8:59 pm Pacific Standard Time, November 30, 2023 . The application will lock at 9pm PST, precisely. All materials must be received by the deadline. While rec letters can continue to be submitted and received after the deadline, the committee meets in early December and will review incomplete applications. TOEFL tests should be taken by or before the deadline, but self-reported scores are acceptable for review while the official scores are being processed. All submitted applications will be reviewed, even if materials are missing, but it may impact the evaluation of the application.

It is your responsibility to ensure and verify that your application materials are submitted in a timely manner. Please be sure to hit the submit button when you have completed the application and to monitor the status of your letters of recommendation (sending prompts, as necessary). Please include the statement of purpose and personal statement in the online application. While you can upload a CV, please DO NOT upload entire publications or papers. Please DO NOT send paper résumés, separate folders of information, or articles via mail. They will be discarded unread.

The Computational Biology Interview Visit dates will be: February 25-27, 2024

Top applicants who are being considered for admission will be invited to visit campus for interviews with faculty. Invitations will be made by early January. Students are expected to stay for the entire event, arriving in Berkeley by 5:30pm on the first day and leaving the evening of the final day. In the application, you must provide the names of between 7-10 faculty from the Computational Biology website with whom you are interested in conducting research or performing rotations. This helps route your application to our reviewers and facilitates the interview scheduling process. An invitation is not a guarantee of admission.

International students may be interviewed virtually, as flights are often prohibitively expensive.

Tips for the Application Process

Uploaded Documents: Be sure to put your name and type of essay on your essays ( Statement of Purpose [2-3 pages], Personal Statement [1-2 pages]) as a header or before the text, whether you use the text box or upload a PDF or Word doc. There is no minimum length on either essay, but 3 pages maximum is suggested. The Statement of Purpose should describe your research and educational background and aspirations. The Personal Statement can include personal achievements not necessarily related to research, barriers you’ve had to overcome, mentoring and volunteering activities, things that make you unique and demonstrate the qualities you will bring to the program.

Letters of Recommendation: should be from persons who have supervised your research or academic work and who can evaluate your intellectual ability, creativity, leadership potential and promise for productive scholarship. If lab supervision was provided by a postdoc or graduate student, the letter should carry the signature or support of the faculty member in charge of the research project. Note: the application can be submitted before all of the recommenders have completed their letters. It is your responsibility to keep track of your recommender’s progress through the online system. Be sure to send reminders if your recommenders do not submit their letters.

Extramural fellowships: it is to your benefit to apply for fellowships as they may facilitate entry into the lab of your choice, are a great addition to your CV and often provide higher stipends. Do not allow concerns about coming up with a research proposal before joining a lab prevent you from applying. The fellowships are looking for research potential and proposal writing skills and will not hold you to specific research projects once you have started graduate school.

Calculating GPA: Schools can differ in how they assign grades and calculate grade point averages, so it may be difficult for this office to offer advice. The best resource for calculating the GPA for your school is to check the back of the official transcripts where a guide is often provided or use an online tool. There are free online GPA conversion tools that can be found via an internet search.

Faculty Contact/Interests: Please be sure to list faculty that interest you as part of the online application. You are not required to contact any faculty in advance, nor will it assist with admission, but are welcome to if you wish to learn more about their research.

Submitting the application: To avoid the possibility of computer problems on either side, it is NOT advisable to wait until the last day to start and/or submit your application. It is not unusual for the application system to have difficulties during times of heavy traffic. However, there is no need to submit the application too early. No application will be reviewed before the deadline.

Visits: We only arrange one campus visit for recruitment purposes. If you are interested in visiting the campus and meeting with faculty before the application deadline, you are welcome to do so on your own time (we will be unable to assist).

Name: Please double check that you have entered your first and last names in the correct fields. This is our first impression of you as a candidate, so you do want to get your name correct! Be sure to put your name on any documents that you upload (Statement of Purpose, Personal Statement).

California Residency: You are not considered a resident if you hope to enter our program in the Fall, but have never lived in California before or are here on a visa. So, please do not mark “resident” on the application in anticipation of admission. You must have lived in California previously, and be a US citizen or Permanent Resident, to be a resident.

Faculty Leadership Head Graduate Advisor and Chair for the PhD & DE John Huelsenbeck ( [email protected] )

Associate Head Graduate Advisor for PhD & DE Liana Lareau ( [email protected] )

Equity Advisor Rasmus Nielsen ( [email protected] )

Director of CCB Elizabeth Purdom ( [email protected] )

Core PhD & DE Faculty ( link )

Staff support Student Services Advisor (GSAO): Kate Chase ( [email protected] )

Link to external website (http://www.berkeley.edu)

Best Undergraduate Bioinformatics/Biotechnology Programs

Bioinformatics/biotechnology focuses on applying computational methods to solve problems and yield insights in fields like biology and medicine. Students pursuing these topics may delve into genetics, bioengineering and mathematical modeling. These are the best undergraduate computer science programs for biocomputing/bioinformatics/biotechnology. Read the methodology »

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bioinformatics phd programs usa

Massachusetts Institute of Technology

Cambridge, MA

  • #1 in Biocomputing/Bioinformatics/Biotechnology
  • #1 in Computer Science

Though the Massachusetts Institute of Technology may be best known for its math, science and engineering education, this private research university also offers architecture, humanities, management and social science programs. The school is located in Cambridge, Massachusetts, just across the Charles River from downtown Boston.

(fall 2022)

SAT, GPA and More

bioinformatics phd programs usa

University of California, San Diego

La Jolla, CA

  • #2 in Biocomputing/Bioinformatics/Biotechnology
  • #14 in Computer Science  (tie)

The University of California, San Diego lies alongside the Pacific Ocean in the La Jolla community of San Diego. The UCSD Tritons compete in more than 20 NCAA Division II sports, mainly in the California Collegiate Athletic Association. The school has hundreds of student organizations, and the university hosts a thriving Greek community. All freshmen are eligible for guaranteed on-campus housing for two years, but they are not required to live on campus. The campus has an aquarium and is home to the Large High Performance Outdoor Shake Table, which tests structures’ ability to withstand simulated earthquakes.

(out-of-state)

bioinformatics phd programs usa

Carnegie Mellon University

Pittsburgh, PA

  • #3 in Biocomputing/Bioinformatics/Biotechnology
  • #2 in Computer Science  (tie)

Carnegie Mellon University, a private institution in Pittsburgh, is the country’s only school founded by industrialist and philanthropist Andrew Carnegie. The school specializes in academic areas including engineering, business, computer science and fine arts.

bioinformatics phd programs usa

Johns Hopkins University

Baltimore, MD

  • #4 in Biocomputing/Bioinformatics/Biotechnology
  • #18 in Computer Science  (tie)

Johns Hopkins University is a private institution in Baltimore that offers a wide array of academic programs in the arts, humanities, social and natural sciences, and engineering disciplines. The Hopkins Blue Jays men’s lacrosse team is consistently dominant in the NCAA Division I; other sports teams at Hopkins compete at the Division III level.

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Stanford University

Stanford, CA

  • #5 in Biocomputing/Bioinformatics/Biotechnology

The sunny campus of Stanford University is located in California’s Bay Area, about 30 miles from San Francisco. The private institution stresses a multidisciplinary combination of teaching, learning, and research, and students have many opportunities to get involved in research projects.

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University of California, Berkeley

Berkeley, CA

  • #6 in Biocomputing/Bioinformatics/Biotechnology

The University of California, Berkeley overlooks the San Francisco Bay in Berkeley, Calif. Students at this public school have more than 1,000 groups to get involved in, including more than 60 fraternity and sorority chapters.

bioinformatics phd programs usa

University of California, Los Angeles

Los Angeles, CA

  • #7 in Biocomputing/Bioinformatics/Biotechnology

The University of California, Los Angeles is just five miles away from the Pacific Ocean. The public institution offers 5,000 courses, 140 bachelor's degree programs and 97 minors.

bioinformatics phd programs usa

Duke University

  • #8 in Biocomputing/Bioinformatics/Biotechnology
  • #23 in Computer Science  (tie)

Located in Durham, North Carolina, Duke University is a private institution that has liberal arts and engineering programs for undergraduates. The Duke Blue Devils sports teams have a fierce rivalry with the University of North Carolina—Chapel Hill Tar Heels and are best known for their outstanding men's basketball program.

bioinformatics phd programs usa

Harvard University

  • #9 in Biocomputing/Bioinformatics/Biotechnology
  • #11 in Computer Science  (tie)

Harvard University is a private institution in Cambridge, Massachusetts, just outside of Boston. This Ivy League school is the oldest higher education institution in the country and has the largest endowment of any school in the world.

bioinformatics phd programs usa

California Institute of Technology

Pasadena, CA

  • #10 in Biocomputing/Bioinformatics/Biotechnology  (tie)
  • #6 in Computer Science  (tie)

The California Institute of Technology focuses on science and engineering education and has a low student-to-faculty ratio of 3:1. This private institution in Pasadena, California, is actively involved in research projects with grants from NASA, the National Science Foundation and the U.S. Department of Health and Human Services.

bioinformatics phd programs usa

Princeton University

Princeton, NJ

The ivy-covered campus of Princeton University, a private institution, is located in the quiet town of Princeton, New Jersey. Princeton was the first university to offer a "no loan" policy to financially needy students, giving grants instead of loans to accepted students who need help paying tuition.

bioinformatics phd programs usa

Yale University

New Haven, CT

Yale University, located in New Haven, Connecticut, offers a small college life with the resources of a major research institution. Yale students are divided into 14 residential colleges that foster a supportive environment for living, learning and socializing.

See all 14 Ranked Schools

Sign up for U.S. News College Compass today to find the school that's right for you. You'll gain access to more than 1,800 expanded school profiles, all entering class stats, including starting salary by major, SAT scores, GPAs and financial aid packages given to students by schools.

More Schools in this List (Alphabetical)

bioinformatics phd programs usa

Cornell University

  • in Biocomputing/Bioinformatics/Biotechnology
  • in Computer Science

Cornell University, a private school in Ithaca, New York, has 14 colleges and schools. Each admits its own students, though every graduate receives a degree from Cornell University. The university has more than 1,000 student organizations on campus.

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bioinformatics phd programs usa

University of Illinois Urbana-Champaign

Champaign, IL

The University of Illinois is located in the twin cities of Urbana and Champaign in east-central Illinois, only a few hours from Chicago, Indianapolis and St. Louis. The school's Fighting Illini participate in more than 20 NCAA Division I varsity sports and are part of the Big Ten Conference. The university boasts one of the largest Greek systems in the country, and almost a quarter of the student body is involved. It’s not hard to find something to do on campus with more than 1,600 student organizations, including professional, political and philanthropic clubs. All freshmen are required to live on campus.

bioinformatics phd programs usa

Best Bioinformatics colleges in the U.S. 2024

Bioinformatics is a degree program that combines mathematics, computer science , and biology. There are three main scientific applications of bioinformatics: genome mapping, evolutionary biology, and protein modeling. Bioinformatics is essential to the use of genomic information in understanding human diseases. Those who have a degree in bioinformatics develop and improve methods for storing, retrieving, organizing, and analyzing biological data. Bioinformatics is found to be the most useful in genetic engineering and biotechnology; however, more career possibilities are available. There are career opportunities within the federal government, state government, post-secondary schools, scientific research and development, and pharmaceutical companies.

Because it is such a new field, expect to see proportionate growth in the job market in the future. Bioinformatics students learn how to interpret complex biological information, model and research DNA, and perform analysis of sequence data using sophisticated software. Course instruction includes molecular genetics, statistics, calculus, chemistry, programming structures , computer science , cell biology, and genomics. Important skills to have are observation, data analysis, and communication.

The Bureau of Labor and Statistics lists the median annual wage for biological scientists as $72,700 in which the lowest ten percent earned $41,890 and the highest 90 percent earned $112,400 in May 2012. In addition, the BLS listed the top paying states for biological scientists as Maryland, Massachusetts, Virginia, Indiana, and the District of Columbia.

Best Bioinformatics colleges in the U.S. for 2024

bioinformatics phd programs usa

University of Alabama at Birmingham offers 1 Bioinformatics degree programs. It's a very large, public, four-year university in a midsize city. In 2022, 1 Bioinformatics students graduated with students earning 1 Bachelor's degree.

bioinformatics phd programs usa

Arizona State University Campus Immersion offers 3 Bioinformatics degree programs. It's a very large, public, four-year university in a midsize city. In 2022, 25 Bioinformatics students graduated with students earning 13 Bachelor's degrees, 9 Master's degrees, and 3 Doctoral degrees.

bioinformatics phd programs usa

University of Arizona offers 1 Bioinformatics degree programs. It's a very large, public, four-year university in a large city. In 2022, 2 Bioinformatics students graduated with students earning 2 Bachelor's degrees.

bioinformatics phd programs usa

University of Arkansas at Little Rock offers 2 Bioinformatics degree programs. It's a medium sized, public, four-year university in a midsize city. In 2022, 5 Bioinformatics students graduated with students earning 4 Doctoral degrees, and 1 Master's degree.

bioinformatics phd programs usa

University of Arkansas for Medical Sciences offers 2 Bioinformatics degree programs. It's a small, public, four-year university in a midsize city. In 2022, 9 Bioinformatics students graduated with students earning 7 Certificates, and 2 Master's degrees.

bioinformatics phd programs usa

California State University-San Bernardino offers 1 Bioinformatics degree programs. It's a large, public, four-year university in a midsize city. In 2022, 2 Bioinformatics students graduated with students earning 2 Bachelor's degrees.

bioinformatics phd programs usa

University of California-Irvine offers 1 Bioinformatics degree programs. It's a very large, public, four-year university in a large city.

bioinformatics phd programs usa

University of California-Los Angeles offers 2 Bioinformatics degree programs. It's a very large, public, four-year university in a large city. In 2022, 19 Bioinformatics students graduated with students earning 10 Doctoral degrees, and 9 Master's degrees.

bioinformatics phd programs usa

University of California-Riverside offers 2 Bioinformatics degree programs. It's a very large, public, four-year university in a large city. In 2022, 1 Bioinformatics students graduated with students earning 1 Doctoral degree.

bioinformatics phd programs usa

University of California-San Diego offers 3 Bioinformatics degree programs. It's a very large, public, four-year university in a large city. In 2022, 81 Bioinformatics students graduated with students earning 71 Bachelor's degrees, and 10 Doctoral degrees.

Find local colleges with Bioinformatics majors in the U.S.

List of all bioinformatics colleges in the u.s..

IMAGES

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    Keck School of Medicine. Los Angeles, CA •. University of Southern California •. Graduate School. •. 7 reviews. Current Master's student: The Keck School of Medicine's Translational Genomics Program is a rigorous and comprehensive program that provides students with a strong foundation in genomics research and its applications.

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    The PhD in Bioinformatics program is offered at the University of Illinois at Chicago. Ph.D. / Full-time / On Campus. University of Illinois at ChicagoChicago, Illinois, United States. Ranked top 2%. ... Utah, United States. Ranked top 2%. Add to compare. Bioinformatics. 11,700 USD / year. 5 years.

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    PhD Program » Bioinformatics | Boston University PhD Program Prospective students who have completed a bachelor's degree may apply for admission to the PhD program. The PhD requires a total of 64 credits, consisting of lecture, laboratory and seminar courses and research credits.

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  21. MS in Bioinformatics

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