fully funded phd programs in computer science in canada

Doctor of Philosophy (PhD)

The PhD program in the School of Computing is entirely research-based, is typically completed within four years and is fully funded ( i.e. , students receive financial support and avoid accruing student debt).

Applicants should normally have completed an M.Sc. in Computing Science or a closely related field at an established university. They are admitted in accordance with the general regulations of the School of Graduate Studies and Postdoctoral Affairs . Candidates normally enter the program at the beginning of the Fall term (September).

Students who are interested in pursuing a part-time Ph.D. should contact the School for further details.

Ph.D. Program Summary

Candidates pass through six stages of activity:

• finding a supervisor
• organizing a supervisory committee
• completing the breadth requirement
• completing the topic proposal
• completing the comprehensive exam
• working on their research and writing their thesis

Note: students admitted prior to September 2013 may complete the research proposal and depth requirement rather than a topic proposal and comprehensive exam.

Ph.D. Requirements

There are four formal requirements imposed by the School:

• a breadth requirement , which can be met through a combination of graduate courses, an MSc thesis, and work experience;
• a six-page topic proposal ;
• a comprehensive examination , which includes a written research proposal and an oral defense; and
• a Ph.D. thesis .

Candidates who fail to complete any requirement within the time limit specified will be required to withdraw from the program. The Ph.D. program committee may approve extensions to time limits, subject to the rules of the School of Graduate Studies and Postdoctoral Affairs, and will normally do so for part-time and inactive students.

Management of the Ph.D. Program

The Ph.D. program is managed by the Ph.D. program committee who are responsible for:

• maintaining consistency in the requirements for individual candidates;
• approving the candidate's progress through various milestones;
• handling disputes that may arise; and
• acting as chairs and examiners when needed.

The Ph.D. program committee is appointed by the School Director and reports annually to the Director on the progress of each Ph.D. student.

Ph.D. Thesis

A thesis presenting original research is submitted for approval by a thesis examining committee. The research described in the thesis should constitute a significant contribution to knowledge in an area of Computing Science. It must be original and of such quality as to warrant its publication in a recognized journal.

Candidates should consult the School of Graduate Studies and Postdoctoral Affairs' Calendar for university regulations regarding Ph.D. theses. The thesis is examined in accordance with the general rules of the School of Graduate Studies and Postdoctoral Affairs .

Requirement to Withdraw

Any of the following are grounds for requiring a candidate to withdraw. The list is illustrative rather than exhaustive.

• inadequate performance in a token ;
• failure to have a research proposal approved within three years; and
• an unsatisfactory rating by the supervisory committee in two regular reviews.

• Doctor of Philosophy in Computer Science (PhD)
• Graduate School
• Prospective Students
• Graduate Degree Programs

Canadian Immigration Updates

Applicants to Master’s and Doctoral degrees are not affected by the recently announced cap on study permits. Review more details

Go to programs search

PhD students in the Department of Computer Science may focus their research in the following areas:

• Artificial Intelligence:  computer vision, decision theory/game theory, knowledge representation and reasoning, intelligent user interfaces, machine learning, natural language understanding and generation, robotics and haptics.
• Computer Graphics:  animation, imaging, modeling, rendering, visualization.
• Data Management and Mining:  business intelligence, data integration, genomic analysis, text mining, web databases.
• Formal Verification and Analysis of Systems:  analog, digital and hybrid systems, VLSI, protocols, software.
• Human Centered Technologies:  human computer interaction (HCI), visual, haptic and multimodal interfaces, computer-supported cooperative work (CSCW), visual analytics.
• Networks, Systems, and Security:  high performance computing/parallel processing, networking, operating systems and virtualization, security.
• Scientific Computing:  numerical methods and software, differential equations, linear algebra, optimization.
• Software Engineering and Programming Languages:  development tools, foundations of computation, middleware, programming languages, software engineering.
• Theory: algorithm design and analysis (including empirical), algorithmic game theory, discrete optimization, graph theory, computational geometry

For specific program requirements, please refer to the departmental program website

What makes the program unique?

The UBC Department of Computer Science has many contacts in the computing industry. A strong rapport between the industry and research communities is beneficial to both, especially in cases where the department focuses its research to developing real-world applications.

I love Vancouver! It's the greatest city in the world. I love the integration of nature into the city; it has all of the mountains, forests, and oceans. In addition, the city is a melting pot of cultures, and that's definitely reflected at UBC. It feels like there's a place for everyone at UBC.

Michael Yin

Quick Facts

Program enquiries, admission information & requirements, 1) check eligibility, minimum academic requirements.

The Faculty of Graduate and Postdoctoral Studies establishes the minimum admission requirements common to all applicants, usually a minimum overall average in the B+ range (76% at UBC). The graduate program that you are applying to may have additional requirements. Please review the specific requirements for applicants with credentials from institutions in:

• Canada or the United States
• International countries other than the United States

Each program may set higher academic minimum requirements. Please review the program website carefully to understand the program requirements. Meeting the minimum requirements does not guarantee admission as it is a competitive process.

English Language Test

Applicants from a university outside Canada in which English is not the primary language of instruction must provide results of an English language proficiency examination as part of their application. Tests must have been taken within the last 24 months at the time of submission of your application.

Minimum requirements for the two most common English language proficiency tests to apply to this program are listed below:

TOEFL: Test of English as a Foreign Language - internet-based

Overall score requirement : 100

IELTS: International English Language Testing System

Overall score requirement : 7.0

Other Test Scores

Some programs require additional test scores such as the Graduate Record Examination (GRE) or the Graduate Management Test (GMAT). The requirements for this program are:

The GRE is not required.

2) Meet Deadlines

September 2024 intake, application open date, canadian applicants, international applicants, deadline explanations.

Deadline to submit online application. No changes can be made to the application after submission.

Deadline to upload scans of official transcripts through the applicant portal in support of a submitted application. Information for accessing the applicant portal will be provided after submitting an online application for admission.

Deadline for the referees identified in the application for admission to submit references. See Letters of Reference for more information.

3) Prepare Application

Transcripts.

All applicants have to submit transcripts from all past post-secondary study. Document submission requirements depend on whether your institution of study is within Canada or outside of Canada.

Letters of Reference

A minimum of three references are required for application to graduate programs at UBC. References should be requested from individuals who are prepared to provide a report on your academic ability and qualifications.

Statement of Interest

Many programs require a statement of interest , sometimes called a "statement of intent", "description of research interests" or something similar.

Supervision

Students in research-based programs usually require a faculty member to function as their thesis supervisor. Please follow the instructions provided by each program whether applicants should contact faculty members.

Instructions regarding thesis supervisor contact for Doctor of Philosophy in Computer Science (PhD)

Citizenship verification.

Permanent Residents of Canada must provide a clear photocopy of both sides of the Permanent Resident card.

4) Apply Online

All applicants must complete an online application form and pay the application fee to be considered for admission to UBC.

Tuition & Financial Support

Financial support.

Applicants to UBC have access to a variety of funding options, including merit-based (i.e. based on your academic performance) and need-based (i.e. based on your financial situation) opportunities.

Program Funding Packages

All full-time PhD students will be provided with a funding package of at least $24,000 for each of the first four years of their PhD program. The funding package consists of any combination of internal or external awards, teaching-related work, research assistantships, and graduate academic assistantships.  This support is contingent on full-time registration as a UBC Graduate student, satisfactory performance in assigned teaching and research assistantship duties, and good standing with satisfactory progress in your academic performance. CS students are expected to apply for fellowships or scholarship to which they are eligible.

Average Funding

• 40 students received Teaching Assistantships. Average TA funding based on 40 students was $6,950.
• 77 students received Research Assistantships. Average RA funding based on 77 students was $20,513.
• 18 students received Academic Assistantships. Average AA funding based on 18 students was $6,167.
• 81 students received internal awards. Average internal award funding based on 81 students was $11,015.
• 8 students received external awards. Average external award funding based on 8 students was $19,625.

Scholarships & awards (merit-based funding)

All applicants are encouraged to review the awards listing to identify potential opportunities to fund their graduate education. The database lists merit-based scholarships and awards and allows for filtering by various criteria, such as domestic vs. international or degree level.

Graduate Research Assistantships (GRA)

Many professors are able to provide Research Assistantships (GRA) from their research grants to support full-time graduate students studying under their supervision. The duties constitute part of the student's graduate degree requirements. A Graduate Research Assistantship is considered a form of fellowship for a period of graduate study and is therefore not covered by a collective agreement. Stipends vary widely, and are dependent on the field of study and the type of research grant from which the assistantship is being funded.

Graduate Teaching Assistantships (GTA)

Graduate programs may have Teaching Assistantships available for registered full-time graduate students. Full teaching assistantships involve 12 hours work per week in preparation, lecturing, or laboratory instruction although many graduate programs offer partial TA appointments at less than 12 hours per week. Teaching assistantship rates are set by collective bargaining between the University and the Teaching Assistants' Union .

Graduate Academic Assistantships (GAA)

Academic Assistantships are employment opportunities to perform work that is relevant to the university or to an individual faculty member, but not to support the student’s graduate research and thesis. Wages are considered regular earnings and when paid monthly, include vacation pay.

Financial aid (need-based funding)

Canadian and US applicants may qualify for governmental loans to finance their studies. Please review eligibility and types of loans .

All students may be able to access private sector or bank loans.

Foreign government scholarships

Many foreign governments provide support to their citizens in pursuing education abroad. International applicants should check the various governmental resources in their home country, such as the Department of Education, for available scholarships.

Working while studying

The possibility to pursue work to supplement income may depend on the demands the program has on students. It should be carefully weighed if work leads to prolonged program durations or whether work placements can be meaningfully embedded into a program.

International students enrolled as full-time students with a valid study permit can work on campus for unlimited hours and work off-campus for no more than 20 hours a week.

A good starting point to explore student jobs is the UBC Work Learn program or a Co-Op placement .

Tax credits and RRSP withdrawals

Students with taxable income in Canada may be able to claim federal or provincial tax credits.

Canadian residents with RRSP accounts may be able to use the Lifelong Learning Plan (LLP) which allows students to withdraw amounts from their registered retirement savings plan (RRSPs) to finance full-time training or education for themselves or their partner.

Please review Filing taxes in Canada on the student services website for more information.

Cost Estimator

Applicants have access to the cost estimator to develop a financial plan that takes into account various income sources and expenses.

Career Outcomes

111 students graduated between 2005 and 2013. Of these, career information was obtained for 106 alumni (based on research conducted between Feb-May 2016):

Sample Employers in Higher Education

Sample employers outside higher education, sample job titles outside higher education, phd career outcome survey, alumni on success.

Job Title Senior Director, Product & Business Development

Employer NGRAIN

Enrolment, Duration & Other Stats

These statistics show data for the Doctor of Philosophy in Computer Science (PhD). Data are separated for each degree program combination. You may view data for other degree options in the respective program profile.

ENROLMENT DATA

Completion rates & times, upcoming doctoral exams, tuesday, 9 april 2024 - 9:00am, monday, 15 april 2024 - 1:00pm - x836, icics building, 2366 main mall.

• Research Supervisors

Advice and insights from UBC Faculty on reaching out to supervisors

These videos contain some general advice from faculty across UBC on finding and reaching out to a supervisor. They are not program specific.

This list shows faculty members with full supervisory privileges who are affiliated with this program. It is not a comprehensive list of all potential supervisors as faculty from other programs or faculty members without full supervisory privileges can request approvals to supervise graduate students in this program.

• Beschastnikh, Ivan (Computer and information sciences; software engineering; distributed systems; cloud computing; software analysis; Machine Learning)
• Bowman, William (Computer and information sciences; Programming languages and software engineering; Programming languages; Compilers; programming languages)
• Carenini, Giuseppe (Artificial intelligence, user modeling, decision theory, machine learning, social issues in computing, computational linguistics, information visualization)
• Clune, Jeff
• Conati, Cristina (artificial intelligence, human-computer interaction, affective computing, personalized interfaces, intelligent user interfaces, intelligent interface agents, virtual agent, user-adapted interaction, computer-assisted education, educational computer games, computers in education, user-adaptive interaction, Artificial intelligence, adaptive interfaces, cognitive systems, user modelling)
• Condon, Anne (Algorithms; Molecular Programming)
• Ding, Jiarui (Bioinformatics; Basic medicine and life sciences; Computational Biology; Machine Learning; Probabilistic Deep Learning; single-cell genomics; visualization; Cancer biology; Computational Immunology; Food Allergy; neuroscience)
• Evans, William (Computer and information sciences; Algorithms; theoretical computer science; Computer Sciences and Mathematical Tools; computational geometry; graph drawing; program compression)
• Feeley, Michael (Distributed systems, operating systems, workstation and pc clusters)
• Friedlander, Michael (numerical optimization, numerical linear algebra, scientific computing, Scientific computing)
• Friedman, Joel (Computer and information sciences; Algebraic Graph Theory; Combinatorics; Computer Science Theory)
• Garcia, Ronald (Programming languages; programming languages)
• Greenstreet, Mark (Dynamic systems, formal methods, hybrid systems, differential equations)
• Greif, Chen (Numerical computation; Numerical analysis; scientific computing; numerical linear algebra; numerical solution of elliptic partial differential equations)
• Gujarati, Arpan (Computer and information sciences; Systems)
• Harvey, Nicholas (randomized algorithms, combinatorial optimization, graph sparsification, discrepancy theory and learning theory; algorithmic problems arising in computer networking, including cache analysis, load balancing, data replication, peer-to-peer networks, and network coding.)
• Holmes, Reid (Computer and information sciences; computer science; open source software; software comprehension; software development tools; software engineering; software quality; software testing; static analysis)
• Hu, Alan (Computer and information sciences; formal methods; formal verification; model checking; nonce to detect automated mining of profiles; post-silicon validation; security; software analysis)
• Hutchinson, Norman (Computer and information sciences; Computer Systems; distributed systems; File Systems; Virtualization)
• Kiczales, Gregor (MOOCs, Blended Learning, Flexible Learning, University Strategy for Flexible and Blended Learning, Computer Science Education, Programming Languages, Programming languages, aspect-oriented programming, foundations, reflections and meta programming, software design)
• Lakshmanan, Laks (data management and data cleaning; data warehousing and OLAP; data and text mining; analytics on big graphs and news; social networks and media; recommender systems)
• Lecuyer, Mathias (Machine learning systems; Guarantees of robustness, privacy, and security)
• Lemieux, Caroline (Programming languages and software engineering; help developers improve the correctness, security, and performance of software systems; test-input generation; specification mining; program synthesis)
• Leyton-Brown, Kevin (Computer and information sciences; Artificial Intelligence; Algorithms; theoretical computer science; Resource Allocation; Computer Science and Statistics; Auction theory; game theory; Machine Learning)
• MacLean, Karon (Computer and information sciences; Information Systems; design of user interfaces; haptic interfaces; human-computer interaction; human-robot interaction)

Doctoral Citations

Sample thesis submissions.

• Discrete optimization problems in geometric mesh processing
• Computational tools for complex electronic auctions
• From videos to animatable 3d neural characters
• Structured representation learning by controlling generative models
• Versatile neural approaches to more accurate and robust topic segmentation
• Machine learning for spectroscopic data analysis : challenges of limited labelled data
• Enriching block-based end-user programming with visual features
• Accelerating Bayesian inference in probabilistic programming
• Computationally efficient geometric methods for optimization and inference in machine learning
• Processing freehand vector sketches
• Exploration on the synergy between discourse and neural summarizers
• Representation learning with explicit and implicit graph structures
• Advancing variational inference via thermodynamic integration
• Provenance in relational databases : usability and applications
• On the design of a gradual dependently typed language for programming

Related Programs

Same specialization.

• Master of Science in Computer Science (MSc)

Same Academic Unit

• Master of Data Science (MDS)

At the UBC Okanagan Campus

Further information, specialization.

Computer Science covers Bayesian statistics and applications, bioinformatics, computational intelligence (computational vision, automated reasoning, multi-agent systems, intelligent interfaces, and machine learning), computer communications, databases, distributed and parallel systems, empirical analysis of algorithms, computer graphics, human-computer interaction, hybrid systems, integrated systems design, networks, network security, networking and multimedia, numerical methods and geometry in computer graphics, operating systems, programming languages, robotics, scientific computation, software engineering, visualization, and theoretical aspects of computer science (computational complexity, computational geometry, analysis of complex graphs, and parallel processing).

UBC Calendar

Program website, faculty overview, academic unit, program identifier, classification, social media channels, supervisor search.

Departments/Programs may update graduate degree program details through the Faculty & Staff portal. To update contact details for application inquiries, please use this form .

My experience as a non-degree student was really positive. I loved the way lectures, tutorials, labs, assignments and projects all complemented each other. I found the lectures stimulating and the professors and TAs encouraging. I also loved just being on the UBC campus. I'm surrounded by nature (...

Geoffrey Woollard

I applied to UBC in 2020, during the pandemic. It was a close call between working with Marcus Brubaker, who co-founded my former employer Structura Biotechnology, before becoming an Assistant Professor at York University, and working with Khanh Dao Duc at UBC. Khanh introduced me to his...

Baraa Orabi

I think three factors had a differentiating effect on this decision: UBC's unique multidisciplinary environment which is key to my research as a computer scientist and bioinformatician. UBC being on the West Coast generally and Vancouver specifically and the amazing weather and nature that comes...

Curious about life in Vancouver?

Find out how Vancouver enhances your graduate student experience—from the beautiful mountains and city landscapes, to the arts and culture scene, we have it all. Study-life balance at its best!

• Why Grad School at UBC?
• Application & Admission
• Info Sessions
• Research Projects
• Indigenous Students
• International Students
• Tuition, Fees & Cost of Living
• Newly Admitted
• Student Status & Classification
• Student Responsibilities
• Supervision & Advising
• Managing your Program
• Health, Wellbeing and Safety
• Professional Development
• Dissertation & Thesis Preparation
• Final Doctoral Exam
• Final Dissertation & Thesis Submission
• Life in Vancouver
• Vancouver Campus
• Graduate Student Spaces
• Graduate Life Centre
• Life as a Grad Student
• Graduate Student Ambassadors
• Meet our Students
• Award Opportunities
• Award Guidelines
• Minimum Funding Policy for PhD Students
• Killam Awards & Fellowships
• Policies & Procedures
• Information for Supervisors
• Dean's Message
• Leadership Team
• Strategic Plan & Priorities
• Vision & Mission
• Equity, Diversity & Inclusion
• Initiatives, Plans & Reports
• Graduate Education Analysis & Research
• Media Enquiries
• Newsletters
• Giving to Graduate Studies

Strategic Priorities

• Strategic Plan 2019-2024
• Improving Student Funding
• Promoting Excellence in Graduate Programs
• Enhancing Graduate Supervision
• Advancing Indigenous Inclusion
• Supporting Student Development and Success
• Reimagining Graduate Education
• Enriching the Student Experience

Initiatives

• Public Scholars Initiative
• 3 Minute Thesis (3MT)
• PhD Career Outcomes
• Great Supervisor Week

When setting your preferences, you disabled the cookies allowing the chat bubble. If you wish to view it, enable the functionality cookies.

You can also find the answers you’re looking for by contacting us .

• Undergraduate programs
• Graduate programs
• Understanding the types of programs
• Programs offered next semester
• Programs open to English-speaking students
• Administration and Management Sciences
• Arts and Music
• Communication
• Economics and Politics
• Environment and Sustainable Development
• Environmental Planning and Design
• Fundamental and Applied Sciences
• Health Sciences
• Information and Communication Technologies
• Individualized programs
• Life Sciences
• Literature and Languages
• Social Sciences
• Social Sciences and Social Action
• Teaching and Education Sciences
• Theology and Religious Sciences

Find your path

Discover programs based on your areas of interest

Test your compatibility with our study programs

• Make an informed choice
• Verify eligibility conditions
• Respect official deadlines
• Obtain recognition of prior learning
• Submit an application
• Change program
• Pay the application fees
• Submit supporting documents
• Access the Centre étudiant
• Track your application in the Centre étudiant
• Modify the application
• Receive a response
• Request admission reconsideration
• Plan your next steps
• Quebec student
• Canadian student (outside of Quebec)
• International student

Can't find what you're looking for?

• Live campus life
• Explore student services
• Join our team of ambassadors
• Innovate through research

Hints, tips and advice to keep you on track

• Download our admission brochure
• Financing your studies at UdeM
• Find your research supervisor
• Find your ideal program with Affiniti
• Find your path with Career Quiz
• Get help with French
• Upcoming events
• Summer Immersion Program
• You don't have an account?
• Create your account

Langue/language

Faculty of Arts and Sciences

PhD in Computer Science

Graduate 3-175-1-0

Bon à savoir! Ce programme s’adresse autant aux francophones qu’aux anglophones. Consultez la fiche descriptive en français pour en savoir plus.

Specialize in an area of computer science research while gaining international expertise in a cutting-edge field.

About this program

Be part of the rapid developments in computer science.

This PhD program will immerse you in the field of research by writing a thesis to drive advances in computer science. By carrying out a research project supervised by a member of the teaching team or a Research Chair, you will have the opportunity to be part of the new generation of researchers specializing in a cutting-edge area of computer science, such as artificial intelligence, machine learning, quantum computing, operations research, software engineering, bioinformatics, and computer graphics, etc.

• Internationally renowned faculty in artificial intelligence, machine learning, quantum computing, operations research, etc.
• Multidisciplinary environment based on a culture of excellence in research and innovation
• Wide range of courses in various areas of computer science
• Internationally renowned research groups and chairs
• Guaranteed funding for all candidates

Language accommodations

Although Université de Montréal is a French-language university, many of our research departments are open to creating a bilingual environment for students in graduate-level programs. These departments are aware of the importance of bilingualism in order for graduate students to succeed in their research careers.

Students who are proficient in English are therefore welcome and accepted into graduate-level programs.

The Department of Computer Science and Operations Research provides a number of accommodations to make you feel comfortable and help you fulfill the requirements of the program even if French is not your main language of study:

• Access to course notes in both French and English.
• Possibility of taking an equivalent course at an English-language university in Montréal.
• Choice of giving oral seminar presentations in either French or English.
• Choice of writing exams in French or English.
• Choice of taking the comprehensive exam in either French or English.
• Choice of writing your doctoral thesis or dissertation in French or English.

All laboratories are offered in a bilingual environment. Above all, staffs in the program are available to help and support you throughout your studies.

Advantages of studying computer science at UdeM Focus on scientific excellence and innovation

• Work in a wide range of research laboratories and groups, conducting cutting-edge work in logistics, artificial intelligence, machine learning, natural language processing, video games, quantum computing, bioinformatics, cryptography, etc.
• Join the multidisciplinary environment of the Department of Computer Science and Operations Research (DIRO), which receives over $6 million in annual research funding
• Financing your studies : all PhD candidates are guaranteed funding

Courses and specifics

For contact information on the program director or student file management technician, or to find out more about the faculty or department hosting the program, please see the page in French . 

• Dissertation or thesis track
• International exchange option

Display error Sorry, something went wrong at our end. Please refresh the page to continue.

The opportunity to think outside the box and the freedom of expression at DIRO are among the most important elements of my education at UdeM.

PhD in Computer Science, President and Founder of NLP Technologies

Admission requirements

You are eligible without having confirmed a research supervisor, but you should do so within a prescribed period.

Be sure to select your choices to display the eligibility conditions that apply to you.

• The Supervision Consent Form , including a section on financial arrangements.

Costs and financial aid

$2,022.23 *

*Total for a full-time session of 15 credits

Tuition fees: $1,440.45

Other fees: $581.78

These amounts are estimates and do not account for other expenses, such as costs for insurance, residence, transportation, manuals, etc.

Check your legal status

These estimates cannot at any time subsitute for an invoice or be used as proof for any reason whatsoever. These calculations are based on the 2023-2024 academic year. Information updated: May 19, 2023

Good news! You may be able to lower this amount!

Under certain conditions, Canadian students who are not residents of Quebec can follow university study programs offered in French while benefiting from the same tuition fees as residents of Quebec.

Check eligibility criteria

$9,435.98 *

Tuition fees: $8,854.20

As an international student, you have access to exemption scholarships granted by UdeM throughout your university program. Note that for ungraduated programs, you must be enrolled as a full-time student for two sessions and reside in Quebec in the case of exclusively online study programs.

Find out about the UdeM exemption scholarship

Future prospects Pursuing a career or further studies? The choice is yours!

Benefit from an exceptional placement rate and gain access to the most interesting and best-paying jobs in the information and communications technology sector. Excellent job opportunities are available with private companies, consulting firms, government corporations and financial institutions, among others.

Need info on the program?

Let us inspire you

Research activities, get a head start by discovering what's been written on the topic., need info on admissions.

Report a change (internal usage)

Main navigation

• Graduate programs
• How to apply
• Research & supervision
• Student experience
• Connect with us

The majority of graduate programs are NOT impacted by recent government announcements about tuition increases. PhD students from the rest of Canada will continue to pay Quebec fees. International PhD fees will see the same 3% increase as Quebec fees.

Computer Science (PhD)

Program description.

The Doctor of Philosophy (Ph.D.) in Computer Science offered by the School of Computer Science in the Faculty of Science is a research-intensive program that emphasizes stimulating and engaging learning opportunities. The program's objective is to equip students with skills in original thinking, information synthesis, and scientific communication to pursue professional opportunities in academia or industry.

Unique Program Features

• The program trains students to become strong, independent researchers in the field of their choice;
• Students will be exposed to cutting-edge computer science developments. The School’s Faculty members conduct research in artificial intelligence, robotics, machine learning and vision, bioinformatics, systems research and CS Education, software engineering, programming languages, and foundations of computer science;
• The School is one of the leading teaching and research centres for computer science in Canada;
• Graduates pursue careers in industry or in academic positions at universities and research labs.

University-Level Admission Requirements

• An eligible Bachelor's degree with a minimum 3.0 GPA out of a possible 4.0 GPA
• English-language proficiency

Each program has specific admission requirements including required application documents. Please visit the program website for more details.

Visit our Educational credentials and grade equivalencies and English language proficiency webpages for additional information.

Program Website

PhD in Computer Science website

Department Contact

Graduate Program grad.cs [at] mcgill.ca (subject: PhD%20in%20Computer%20Science) (email)

Available Intakes

Application deadlines.

Note : Application deadlines are subject to change without notice. Please check the application portal for the most up-to-date information.

Application Resources

• Application Steps webpage
• Submit Your Application webpage
• Connecting with a supervisor webpage
• Graduate Funding webpage

Application Workshops

Consult our full list of our virtual application-focused workshops on the Events webpage.

Department and University Information

Graduate and postdoctoral studies.

• Support Dal
• Current Students
• Faculty & Staff
• Family & Friends
• Agricultural Campus (Truro)
• Halifax Campuses
• Campus Maps
• Brightspace

Dalhousie University

Computer science  mcsc, phd.

• Faculty of Computer Science

Program details

• Funding & support
• Graduate life
• PhD program
• Master's program
• Graduate support & resources

Important dates

• October 15:  Applications for September 2023 admissions open
• December 1:  NSERC CGS-M  
• January 16:   Harmonized scholarship  applications due 
• April 1:  International applications for September 2023 admissions close 
• June 1:  Domestic applications for September 2023 admissions close

Funded Fellowships

We offer competitive funding to qualified graduate students, including a variety of funded fellowship opportunities  available to incoming PhD students. 

Make an impact through research

You can conduct original and independent research alongside our  award-winning professors  in areas that cut across many industries and permeate nearly all human endeavors. From oceans to healthcare, information communications technology to gaming, our students and professors are  making an impact . The Faculty of Computer Science at Dalhousie University is the  premier academic research institution in Information Technology in Atlantic Canada.  Since our founding in 1997, the Faculty has developed research strengths across five major areas:  Big Data Analytics, Artificial Intelligence & Machine Learning ,  Human-Computer Interaction, Visualization & Graphics ,  Systems ,  Algorithms & Bioinformatics , and  Computer Science Education .

Designed with support in mind 

The PhD program is designed to focus you on research early, under the mentorship of a thesis supervisor, assisted by a supervisory committee. Students are expected to lead a well-defined component of a wider project, and be the prime author in the resulting publications.

In addition to exploring theories, methodological concepts, and substantive knowledge related to computer science, our PhD in Computer Science will help you develop a deep expertise in areas like: 

• Visual Analytics
• Text and Data Analytics
• Networks and Security
• Wireless networks and Security
• Human-Computer Interaction and Ubiquitous Computing
• Visualization, New Media and Image Processing
• Mobile Graphics
• Theory and Algorithms
• Genetic Algorithms and Evolutionary Computing
• Bioinformatics
• Health Informatics
• Autonomous Robotics
• Algorithms & Data Structures
• CS Education
• Creative AI
• Educational Data Mining & Learning Analytics
• Human-Centred Design
• Software Engineering

Your future

By the time you've completed your degree, you will be ready for a career in industry, or within an academic setting. Some of our alumni have found jobs as:

• Professors in computer science 
• Conducting advanced research in industrial or government research labs
• Chief Technical Officers
• CEO of their own start-up

PhD in Computer Science

The PhD program requirements consist of a number of graduate courses, a Research Aptitude Defence , a Thesis Proposal, and the Thesis Defence . The general regulations of the Faculty of Graduate Studies are in effect for the PhD program. Here detailed information is provided about the PhD Program requirements in the Faculty of Computer Science.

Program structure

A PhD in Computer Science will typically take 3 - 4 years to complete. 

Learn more about timelines for satisfactory progress in this program.

Admission requirements

PhD requirements follow the standard requirements by the Faculty of Graduate Studies.

Learn about admission requirements / how to apply .

Degree requirements

The PhD course requirement for a candidate entering the PhD program with a Master's degree in Computer Science is TWO graduate courses (CSCI 6XXX or above), plus any additional graduate or undergraduate courses mentioned in the letter of admission. Up to one CSCI 6902 doctoral directed studies course can be taken as one of the two required graduate courses. The PhD course requirement for a candidate entering the PhD program with a Bachelor of Computer Science degree is SIX graduate courses (CSCI 6XXX or above), plus any additional graduate or undergraduate courses mentioned in the letter of admission. Up to one CSCI 6901 directed studies course and one CSCI 6902 doctoral directed studies course can be taken as two of the six required courses. All PhD candidates should consult with and get the agreement of their supervisor on their graduate course selection.

Sufficient seminar attendance done to receive a passing grade in CSCI 6999 (attend the lesser of 6 or 75% of seminars denoted for 6999 in the term for each of 6 terms).

In addition to the above graduate coursework requirement, a candidate is required to register in a Directed Doctoral Research Project, CSCI 7900.06 (worth one full course or 6 credit hours), leading to the research aptitude exam. Students should sign up for it in the two consecutive terms before their exam. The course reflects the effort that students put into their research leading to that exam.

Additional courses may be required either as specified upon admission or as a result of the student's performance in the research aptitude/thesis proposal examination to remedy deficiencies in the student's background.

On successful defense of the research aptitude exam candidates enroll in CSCI 9530 for the remainder of their program.

Choosing a research supervisor

Before you begin, you'll need to find a supervisor who is able to support your research interests and has the capacity to take on the added responsibility. This individual will be an important part of your supervisory committee. Start by checking out  our faculty profiles  and  faculty research interests , then get in touch with them directly.

Research Aptitude Defence

The research aptitude defence is an internal review of a directed research project to date. The objective of this review is to assess the likelihood of the work yielding thesis quality material in the near, medium and long term. Candidates may provide strong evidence in support of the above objectives by having directed research accepted for publication in a peer reviewed conference / journal. The preparation of the student for this defence is part of the normal research process towards the PhD, and therefore it does not detract from, but contributes to the objective of timely completion of the degree.

Important points:

• Candidates are expected to take and pass the RAD within 5 terms of beginning their program;
• If candidates fail to pass the RAD within this timeline, Faculty scholarship funding will be cut off;
• Decisions regarding any Extensions/ Restoration of funding are made by the Graduate Committee on a case-by-case basis.

See here for detailed information about the Research Aptitude Defence & Thesis Defence Proposal.  It is the responsibility of the student to provide committee members with a copy of the report ten working days in advance of the defence.

Administrative forms for scheduling and reporting the result of the research aptitude defence can be found on the  graduate forms page .

When designing your thesis, you should keep in mind that to be successful, it must describe an original contribution to knowledge made while you attended Dalhousie University. It also needs to be valuable enough to merit publication in a reputable scientific journal with a system of external review.  

Research for the thesis is conducted under the guidance of your research supervisor, in whose laboratory you work. A Thesis Supervisory Committee for each student provides additional expertise and advice to facilitate the research and the preparation of the thesis.

Detailed information about the Thesis Proposal.  It is the responsibility of the student to provide committee members with a copy of the report ten working days in advance of the defense.

Administrative forms for scheduling and reporting the result of the thesis proposal defence can be found on the  graduate forms page .

Candidates are expected to take and pass the Thesis Proposal defence within 8 terms of beginning their program

Important application deadlines

June 1  (for September start) is the deadline for Canadian applicants.

April 1  (for September start) is the deadline for non-Canadian applicants. If you think your visa processing will take some time, please apply by March 1.

Contact information

If you have more questions, contact:

[email protected]

Halifax, Nova Scotia, Canada  B3H 4R2 1-902-494-2211

Agricultural Campus Truro, Nova Scotia, Canada  B2N 5E3 1-902-893-6600

• Campus Directory
• Student Career Services
• Employment with Dalhousie
• For Parents
• For Employers
• Media Centre
• Privacy Statement
• Terms of Use

Dalhousie University Halifax, Nova Scotia, Canada B3H 4R2 1.902.494.2211

PhD Computational Sciences

The objective of the PhD in Computational Sciences is to produce interdisciplinary scholars who are capable of tackling emerging problems in the sciences and humanities through investigation, advanced research and application of current computer technologies. Students in the program will have the opportunity to study computer science within the context of another discipline commensurate with their own interests and career goals. These disciplines include but are not limited to the following: Economics, Engineering, English, Geography, History, Integrative Biology, Mathematics and Statistics, Pathobiology, Psychology, and Veterinary Medicine.

The PhD in Computational Sciences is a full­-time, four-­year program (12 semesters of continuous enrollment) during which students will complete the Technical and Communication Research Methodology course (CIS*6890) and any additional graded courses or modules assigned by their Advisory Committee. Students will also give two public seminars, pass a qualifying exam , conduct research and successfully defend a written PhD thesis at the final oral examination. Our PhD will prepare students for both academia and industry. Applicants also have the option to apply for a collaborative specialization in One Health while pursuing a thesis-based PhD degree in Computational Sciences. Each PhD candidate will conduct thesis research by working closely with TWO chosen faculty research advisors , a School of Computer Science (SoCS) advisor and an Application Discipline (AD) co-advisor (from discipline outside of computer science), who will share equal responsibility in supervising the candidate's research.

All applicants must identify a secured SoCS advisor AND AD co-advisor BEFORE applying to the program, and these confirmed advisors must be included in the application's Statement of Interest. Finding a SoCS and AD research advisor is mandetory for admission to the PhD.CSCI program and is the responsibility of the applicant.

You can review SoCS faculty Areas of Research and current available opportunities to assist you in finding a suitable SoCS faculty research advisor.

Tips for Finding a Research Advisor Note for International Applicants: In light of the recent announcement from the Canadian Government ( IRCC ) limiting the number of issues international student visas, we want to ensure our international graduate applicants that as of current, students applying to our graduate programs (MSc, MCTI, PhD) remain unaffected by this new policy. For more information about Canadian study permit policies, please connect with a member of our International Student Advising team.

How to Apply

Please apply online at Applying to Guelph.

Application Deadlines

Available spaces in the PhD program fill quickly, so it is in your best interest to submit your application and all required supporting documentation early. Our application deadline dates for each semester of enrollment are as follows:*

• Fall 2024: June 1, 2024
• Winter 2025: October 1, 2024
• Spring 2025: February 1, 2025

*The application deadlines are for both Domestic and International applicants. We strongly encourage International applicants to apply a minimum of 9 months in advance of the semester's start date to ensure study permits can be processed in time for admission. Please see the Office of Graduate & Postdoctoral Studies (OGPS) Recommendations for International Applicants for suggested application timeline.

Please note: Application processing times may vary and take approximately two to three months for decision. Please also ensure you have all required application documentation submitted by the specified deadline, or your application will be considered incomplete.

Applicants must meet the minimum admission requirements of both the University and the School of Computer Science (SoCS). For admission to the PhD in Computational Sciences program, entrants require the following:

• Thesis-based master's degree: Admission to the PhD program normally requires a recognized thesis-based master’s degree. Applicants possessing a recognized course-based master's degree may be considered if the applicant demonstrates an outstanding academic record and research accomplishments through publications in scholarly journals and/or conferences. We do not require students entering the program to have a credential in Computer Science. Such students are required to identify their experience using computerized techniques and demonstrate that they have the necessary background to complete the tasks outlined in the Statement of Interest.  
• Minimum B average: Applicants are required to have a minimum average of 75% ('B') during the previous two years of full-time university study for an accredited university graduate degree . For information on international degree admission requirements, please see:  International Credential Evaluation and select country. Admission average is calculated using the last 2 years of university-level study.  
• TWO faculty research advisors: Each PhD candidate will conduct thesis research by working closely with two chosen faculty research advisors , a School of Computer Science (SoCS) advisor and an Application Discipline (AD) co-advisor, who will share equal responsibility in supervising the candidate's research. At least one of the advisors must be regular graduate faculty member at the University of Guelph. A chosen SoCS advisor and AD co-advisor must be established BEFORE applying to the PhD.CSCI program, and must be included in the application's Statement of Interest. You can review SoCS faculty Areas of Research to assist you in finding a suitable SoCS faculty research advisor. Please also review Tips for Finding a Research Advisor to assist you in communicating effectively with our SoCS faculty.  
• English proficiency test: An English proficiency test will be required for any applicant whose first language is not English.  

In addition to the Faculty of Graduate Studies Requirements, the School of Computer Science (SOCS) requires all of the documentation noted on the application page including:

• Academic Transcripts
• A current resume or CV (including publications)
• The applicant must identify their potential supervisors (SoCS advisor and AD co-advisor) and explain their choice
• They should describe the general area of research in which they are interested
• The area must be at the crossroads between computer science and another discipline (the “application discipline”) in the sciences, social sciences, humanities, etc.
• They may also describe a specific research problem in the area and their initial ideas on how to approach it
• They should clearly explain the importance and interdisciplinary nature of the area or problem
• They should summarize the related research and refer to publications where appropriate
• An applicant without a master’s or bachelor’s degree in computer science should highlight their computational knowledge and experience (e.g., computer science courses taken; use of Matlab, Mathematica, R, Maple, Weka)
• An applicant without a master’s or bachelor’s degree in the application discipline should highlight their knowledge and experience in that discipline
• The applicant should list any other reasons why they consider themselves a strong applicant
• Three Academic References
• A test of English proficiency is required of all applicants whose first language is not English. The English language requirements for the PhD program are higher than other programs.  Required scores are shown below:
• TOEFL (and TOEFL Special Home Edition ): 100, speaking and writing 25, at least 21 in each category
• IELTS (and Computer-delivered IELTS ): 7.0, at least 6.5 for each component
• Pearson Test of English Academic (PTE-A): 60, a minimum score of 60 must be achieved in each individual component.
• Canadian Academic English Language Test (CAEL): 70, writing and speaking 70, no score lower than 60
• University of Guelph English Language Certificate at the Advanced Level
• DuoLingo Test: 120

*Please note, the test may not be more than two years old. The proof of English proficiency requirement may be waived in exceptional circumstances. For example, applicants may be eligible for an English Waiver who have conferred a degree in a country where English is the native language AND in a university where English is the language of instruction (e.g. Canada, UK, USA, Australia, etc.). School of Computer Science Graduate Admissions Committee approval is required.

6. The Declaration of Committement form is an additional document required for applicants of the One Health Collaborative Specialization ONLY

7. The GRE is NOT required for admission

Fees & Funding

Tuition fees.

Visit Guelph Graduate Fees for the approximate costs of studying at the University of Guelph. Please also review the cost of living information for domestic and international students to determine the approximate cost of living fees (as these are in addition to tuition).

Guaranteed Funding

Normally, PhD students are (at minimum) partially funded by the School of Computer Science. That is, a minimum funding stipend of $25,000 per year (maximum 4 years) is guaranteed to all international and domestic PhD students who are able to secure a graduate faculty advisor and admission to the program. Funding is provided as a combination of Graduate Teaching Assistantships (GTAs) and Graduate Research Assistantships (GRA).

For more information about types of funding and scholarships available, please visit fees, funding and scholarships.

For more information and requirements, please visit the PhD in Computational Sciences Graduate Calendar , or download our Program Brochure.

Please note, we will not be able to pre-evaluate any documents, and must receive all the required documentation before your application can be evaluated. If you need further assistance, please contact our Graduate Program Assistant .

• Study resources
• Calendar - Graduate
• Calendar - Undergraduate
• Class schedules
• Class cancellations
• Course registration
• Important academic dates
• More academic resources
• Campus services
• IT services
• Job opportunities
• Safety & prevention
• Mental health support
• Student Service Centre (Birks)
• All campus services
• Calendar of events
• Latest news
• Media Relations
• Faculties, Schools & Colleges
• Arts and Science

Gina Cody School of Engineering and Computer Science

• John Molson School of Business
• School of Graduate Studies
• All Schools, Colleges & Departments.
• Directories
• Future students
• Current students
• Alumni & friends
• Faculty & staff

Computer Science (PhD)

Program overview Program structure Admission requirements Application process Tuition & funding

Program overview

The PhD in Computer Science program leads to the highest degree offered by the Faculty and is designed to provide students an opportunity to obtain the greatest possible expertise in their chosen field through intensive research. Advancement of analytical and/or experimental knowledge through a combination of specialized courses and a research thesis under the supervision of an experienced researcher forms the main component of the doctoral program. Where possible, research of interest to industry is encouraged.

The objective of the PhD in Computer Science program is to educate highly qualified researchers required for the expansion of fundamental knowledge and technological innovation through research and development, as well as the needs of institutions of higher learning.

Program structure

Degree requirements, (90 credits), doctor of/doctorate in philosophy (phd), admission requirements, admission requirements.

Admission on a full-time basis

• Master’s degree or equivalent with high standing in engineering or computer science, or in a cognate discipline.
• Holders of a bachelor’s degree will, in general, be considered for admission to a master’s program only. After completion of a minimum of one term of full-time study in the Master's degree, they may, upon application, be recommended by the Department and approved by the GCS Associate Dean of Research and Graduate Studies for admission to a PhD program.

Admission on a part-time basis

• Master’s degree with high standing in engineering, computer science or a cognate discipline.

Proficiency in English

Proficiency in English. Applicants whose primary language is not English must demonstrate that their knowledge of English is sufficient to pursue graduate studies in their chosen field. Please refer to the English language proficiency page for further information on requirements and exemptions .

Application process

Application deadlines.

All applicants: Canadian / International / Permanent Resident

June 1 (all applicants)

October 1 (all applicants)

February 1 (all applicants)

Priority will be given to complete applications submitted by the deadline. In some cases, programs may continue to accept applications as long as there is space available.

International students: Considering the waiting period involved in meeting the entry requirements to Canada and Quebec , we strongly encourage international applicants to apply early and submit supporting documents prior to the deadline.

Tuition & funding

Tuition and fees.

Tuition and fees of the program may depend on your student status, among other key factors. Estimate these costs based on the most common situations.

Awards and funding

Funding packages are generally available for students in thesis-based programs. They come in the form of awards, teaching and research assistantships are offered at the time of admission to most students to allow them to focus on their research and studies. Research and thesis-based students are automatically considered for all entrance graduate awards when they apply to Concordia, provided they meet eligibility criteria. No separate application is required.

The Quebec and Canadian governments offer a number of competitive graduate scholarships. We encourage you to apply for these awards at the same time you are preparing your application.

Other programs of interest

Software engineering (phd) thesis.

Deepen your understanding of sophisticated engineering methodologies through intensive research and the application of mathematical, computer science and software engineering concepts.

Department of Computer Science and Software Engineering

© Concordia University

Chat with graduate students

Connect with us

• Entrepreneurship
• Organizational Behaviour and Human Resources Management
• Technology Management (Bachelor of Commerce)
• Computer Science
• Data Science
• Digital Media
• Information Technology - Game Development and Interactive Media
• Information Technology - Networking and Information Technology Security
• Information Technology - Technology Management
• Integrated Mathematics and Computer Science
• Adult Learning with Technology
• Concurrent Education
• Digital Technologies
• Early Childhood Studies
• Education, Consecutive, Intermediate/Senior
• Education, Consecutive, Primary/Junior
• Educational Studies
• Equity, Diversity and Inclusion
• Automotive engineering
• Comprehensive Engineering
• Electrical Engineering
• Manufacturing Engineering
• Mechanical Engineering
• Mechatronics Engineering
• Software Engineering
• Sustainable Energy Systems
• Industrial Engineering
• Energy Engineering
• Health Administration
• Health Sciences
• Human Health Science
• Kinesiology
• Medical Laboratory Science
• Medical Laboratory Science - Northern Access Initiative
• Medical School Pathway
• Nursing - Collaborative
• Pre-med programs
• Public Health
• Veterinary school pathway
• Mathematics for Science and Industry
• Applied Biotechnology
• Astrophysics
• Biological Science
• Chemical Biology
• Environmental Biology
• Forensic Science
• Neuroscience
• Biomedical Science
• Nanotechnology and Clean Energy
• Pharmaceutical Chemistry
• Health Physics and Radiation Science
• Marine Biology
• Legal Studies
• Liberal Studies
• Political Science
• Psychology (Bachelor of Arts)
• Psychology (Bachelor of Science)
• Communication and Digital Media Studies
• Criminology and Justice
• Forensic Psychology
• Creativity, Digital Arts and Entertainment Industries
• Strategic Communications, Social Media & Society
• Global Studies
• Business and Society
• Legal Studies and Political Science
• Direct entry co-op
• Experiential learning
• Commerce - Advanced Entry
• Commerce - Bridge
• Information Technology - Game Development and Interactive Media - Bridge*
• Information Technology Security - Bridge*
• Networking and Information Technology Security - Advanced Entry
• Computer Science - Advanced Entry
• Teaching English to Speakers of Other Languages (TESOL)*
• Facilitating Adult Learning with Technology - Undergraduate Diploma
• Equity, Diversity and Inclusion - Advanced Entry
• Lifelong Learning with Technology - Advanced Entry
• Digital Technologies - Advanced Entry
• Early Childhood Studies - Advanced Entry
• Manufacturing Engineering - Bridge
• Allied Health Sciences - Bridge
• Kinesiology Advanced Entry - Fitness and Health Promotion
• Kinesiology Advanced Entry - OTA and PTA
• Medical Laboratory Science - Bridge
• Nursing - Post RPN
• Kinesiology Advanced Entry - Massage
• Biological Science - Advanced Entry
• Legal Studies - Advanced Entry
• Legal Studies - GAS Transfer
• Political Science - Advanced Entry
• Political Science - GAS Transfer
• Communication and Digital Media Studies - Advanced Entry
• Communication and Digital Media Studies - GAS Transfer
• Criminology and Justice - Advanced Entry
• Criminology and Justice - GAS Transfer
• Forensic Psychology - Advanced Entry
• Forensic Psychology - GAS Transfer
• Psychology - Advanced Entry
• Psychology - GAS Transfer
• Accounting (Graduate Diploma)
• Business Analytics and AI (Master's program)
• Financial Data Analytics (Master's program)
• Information Technology Security (Master's program)
• Doctor of Education
• Education (Master of Arts)
• Education (Master of Education)
• Education in the Digital Age (Graduate Diploma)
• Automotive Engineering (Master's)
• Electrical and Computer Engineering (Doctoral program)
• Electrical and Computer Engineering (Master's program)
• Engineering Management (Graduate Diploma)
• Engineering Management (Master's program)
• Mechanical Engineering (Doctoral program)
• Mechanical Engineering (Master's program)
• Nuclear Design Engineering (Graduate Diploma)
• Nuclear Engineering (Doctoral program)
• Nuclear Engineering (Master's program)
• Nuclear Technology (Graduate Diploma)
• Software Engineering Master's program)
• UNENE MEng in Nuclear Engineering
• UNENE Nuclear Engineering (Graduate Diploma)
• master-of-health-sciences
• phd-health-sciences
• master-of-science-in-nursing
• Work Disability Prevention (Graduate Diploma)
• Applied Bioscience (Master's program)
• doctoral-computer-science
• doctoral-materials-science
• doctoral-applied-bioscience
• doctoral-modelling-and-computational-science
• masters-computer-science
• masters-materials-science
• masters-modelling-and-computational-science
• master-of-arts-criminology
• master-of-science-forensic-psychology
• phd-forensic-psychology
• phd-criminology-and-social-justice
• Graduate Diploma in Police Leadership
• master-of-arts-in-social-practice-and-innovation
• Change Management
• Coaching, Mentoring and Networking
• Communications and Marketing in a Digital Age
• Conflict Management and Negotiations
• Critical Thinking and Problem Solving
• Full Stack Developer Program
• Fundamentals of Leadership
• Generative AI for Leaders
• High Impact Communication Skills
• Introduction to Higher Education Management
• Leadership and Management Essentials
• Leadership and Strategy for Boards and Staff
• Lean Certification Programs
• Legislation and Governance
• Management Excellence
• Managing Finance and Report Requirements
• Master's Certificate in Public Sector Management
• Not-for-Profit Leadership Certificate Program
• People Management - Staff and Volunteers
• Performance Management
• post-grad-advanced-leadership
• Professional Communications
• Professional Management Certificate Program
• Revenue Generation and Operations Management
• strategic and innovative leadership
• Strategic Management
• Workplace Innovation
• AI in Education
• Summer Institute
• Teaching Math and Coding - Elementary
• CANDU Decommissioning
• Nuclear-Renewable Hybrid Energy Systems
• SMR Engineering and Design
• CPR Certification
• CPR REcertification
• Dementia Care for Health Care Workers
• Gentle Persuasive Approaches (GPA) Training
• interprofessional-education-med-lab
• Soins aux personnes atteintes de démence pour les travailleurs de la santé
• Type 1 Diabetes
• U-First Training
• Creating Content and Expanding Your Network
• Digital Management
• Digital Marketing and Social Media Management Certificate Program
• Digital Media and Marketing Strategies
• Micro-credentials

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

Computer Science (Doctoral program)

Program details.

Faculty Science

Degree Doctor of Philosophy (PhD)

Delivery method Hybrid online/in-class

Location Ontario Tech University, North Oshawa

Start dates September, January or May

Length Approximately 48 months, based on full-time study

Program load Full-time

Program format Courses with PhD thesis

The goal of the  PhD  program is to produce a new breed of computer science graduates that have a broad background in information technology along with project management and people skills. Graduates of this program will not only have strong technical expertise in their particular  field,  but will also have the ability to work effectively in interdisciplinary teams and be able to tackle problems that require both technical and non-technical solutions.

The program differs from most existing computer science programs as it concentrates on both applied research and the development of professional skills. The intention is that most of the graduates from this program will build careers in industrial research and software development. The program also prepares graduates for careers in academia, but it is expected that most of the graduates from this program will select careers in industry. The program focuses on the skills required for successful careers in industry, reflecting the university's goals to be market-oriented and to provide high-quality professional education.

The  PhD  program gives students the opportunity to work in teams, develop leadership skills, and master oral and written communication skills.

• Digital Media Use of computer technology in the implementation of various forms of media including audio, graphics, computer animation, visual analytics, computer games and computer vision.
• Information Science Distribution and management of information including database systems, machine learning, services computing, intelligent systems and health informatics.
• Networks and IT Security Design, implementation and management of computer networks, as well as security issues such as cryptography, malware analysis and secure communications.
• Software Design Process of designing and implementing software systems, including software engineering, distributed computing, programming languages and software architecture. 
• Admission requirements
• Application deadlines
• How to apply
• Completion of a master's level degree in computer science, computer engineering, information technology or software engineering from a Canadian university, or its equivalent from a recognized institution.
• A minimum B+ average (GPA: 3.3 on a 4.3 scale or 77 to 79 per cent).

Required supporting documents:

Please see the  checklist of required documents  for a list of supporting documentation that must be submitted with your application.

Additional requirements:

Admission depends on the availability of a research supervisor. It is recommended that applicants contact a potential supervisor before formally applying. 

In their statement of academic intent, applicants should include the type(s) of course(s) they feel they are suitable to teach as teaching assistants.

Required test scores for English language proficiency:

See  English language proficiency  for the minimum required test scores for this program.

Please see   application deadlines   for specific dates. Note that the application deadlines listed are for both the online application and all supporting documentation.

Applications for admission to all graduate studies programs are submitted online. There are five steps you must go through to complete the application process. See   application process and requirements   for step-by-step instructions.

Many of our graduate programs are extremely competitive; the number of qualified applicants normally exceeds the number of seats available for each intake. Satisfaction of minimum entry requirements does not ensure admission.

Faculty website

Download viewbook

DOWNLOAD Program Postcard

Ask a question

Research areas

• Artificial intelligence
• Computer graphics
• Computer vision
• Data science
• Distributed computing
• Health informatics
• Information visualization
• Network design
• Network security
• Serious games
• Software engineering
• Ubiquitous computing
• Virtual reality

Learn more about the research areas within this program and find research experts by visiting the faculty’s website and the university's Expert Centre .

Additional information

Internal awards and funding.

Applicants to research-based graduate programs who are studying full-time are automatically considered for some types of funding at the time of admission.

Types of funding that do not require an application:

• Entrance scholarships
• Minimum funding packages
• Teaching assistantships, research assistantships and graduate research assistantships

For more details on the above funding opportunities, see   graduate student awards and funding .

Please note:   Part-time students are not eligible for the above funding opportunities.

External awards and funding

Graduate program applicants are encouraged to apply for   external awards   to help finance their education. The application process differs for each competition, so review the information carefully to determine where and when you must apply.   Please note:   The majority of these awards are for domestic or permanent residents only.

Tuition fees for graduate programs are charged on a flat-fee or fee-per-credit basis and vary by program and student status.

For current, specific fees and details on flat-fee versus fee-per-credit programs, please see   tuition and fees .

Contact the program:

Faculty of Science 905.721.3050 [email protected]

Contact the School of Graduate and Postdoctoral Studies:

905.721.8668 ext. 6209 [email protected]

Explore Lassonde

• Civil Engineering
• Mechanical Engineering
• Electrical Engineering and Computer Science
• Earth and Space Science and Engineering
• Earth & Space Science & Engineering
• Electrical Engineering & Computer Science
• Undergraduate Programs
• Graduate Programs
• k2i academy
• Lassonde Academy
• Lassonde Professional Development
• BEST Program
• Dual Degree
• Program Requirements
• Boost Co-Application
• Engineering Core First-Year
• Engineering Program Guarantee
• International Students
• Women in Science & Engineering
• Explore Virtual Tours

This is Lassonde: Podcast

• Undergraduate Awards & Scholarships
• Graduate Awards & Scholarships
• Academic Calendar
• Indigenous Student Support
• Peer Helpers
• Room Booking
• Lassonde Machine Shop
• Academic Honesty & Integrity
• Enrolment and Advising Q&A
• First-year Eng Block Model
• Program Changes
• Connect with an Academic Advisor
• Student Support & Resources
• Health and Well-being Support
• Addressing a Concern or Complaint
• Centres, Groups & Resources focused on Support & Inclusion
• Research Reports
• Lassonde Research Awards
• Distinguished Speaker Series
• Funding & Award Opportunities
• Undergraduate Research
• Graduate Students
• Postdoctoral Fellows
• Newsletter Archives
• Equity, Diversity and Inclusion
• Strategic Academic Plan
• Impact Reports
• Faculty Council
• Faculty Recruitment
• Staff Recruitment
• Annual Impact Report

Graduate Program in

Computer science.

M.Sc. in Computer Science

Fall Entry Available

Find out more about Lassonde’s Computer Science Graduate Program

About the Program

The Department of Electrical Engineering and Computer Science (EECS) is one of the leading academic and research departments in Canada. Our graduate programs are research based, thriving on the broad range of active research conducted by faculty members in the Department. Specializations include: Artificial Intelligence, Big Data, Biomedical Engineering, Computer Graphics, Computer Security, Computer Vision, Data Science, Human-Centered Computing, Information Systems, Integrated Circuits, Micro/Nanoelectronics, Networks, Power and Renewable Energy Systems, Robotics, Software Engineering, Theory of Computation and Virtual Reality. With 58 research faculty and over 150 graduate students and research staff our graduate programs foster a dynamic research environment.

The Graduate Program in EECS offers a research intensive, well supported, congenial environment for a select group of graduate students. We offer studies leading to the degrees of Master of Science (MSc) in Computer Science (including a non-thesis, project-based  specialization in Artificial Intelligence ), Doctor of Philosophy (PhD) in Electrical Engineering and Computer Science as well as Master of Applied Science (MASc) in Electrical and Computer Engineering. These degree programs consist of courses and research conducted under faculty member supervision. Our internship program offers a combination of industrial and academic experience for student.

A podcast series with students, alumni, and faculty members from Lassonde.

Admissions requirements and deadlines, msc in computer science, admission deadline for eecs graduate applications, meet the eecs faculty, contact the eecs graduate department.

Graduates with an honours degree in Computer Science or equivalent, with at least a B+ average in the last two years of study, may be admitted as Candidates for the Masters program in Computer Science. In addition, those admitted must have completed the equivalent of a senior-level course in the area of theoretical computer science.

Applicants must also satisfy specified requirements set out by the Faculty of Graduate Studies (FGS), such as demonstrating competence in the English language. The following are the minimum English Language test scores (if required): TOEFL: 90(iBT), IELTS 7 or YELT 4.

The application deadline is available on the  Future Students website .

Learn more about our talented team of professors!

Email: [email protected]

Location: 1st Floor, Lassonde Building

Shivani Sheth

MSc Candidate, Computer Science

“I have always been fascinated by technology, whether it was computer games, apps, websites, chat boxes or speech systems. All this really sparked my passion for computer science. In addition, my love for mathematics supported my interests and made learning fun.

For me, becoming a computer scientist means I will have skills that I can use to create a better world.

My focus of study is Artificial Intelligence. AI not only has the ability to automate tools but it can help us perform tasks that are beyond human capabilities. This power can be utilized in creating a positive change in the world, such as smart irrigation systems, combating human trafficking and much more.”

RESEARCH AREAS/STRENGTHS

• Artificial Intelligence
• Biomedical Engineering
• Computer Graphics
• Computer Vision
• Human-centred Computing
• Information Systems
• Integrated Circuits
• Micro/nanoelectronics
• Power and Renewable Energy
• Software Engineering
• Theory of Computation
• Virtual Reality

GRADUATE FUNDING

The Lassonde School of Engineering provides a competitive, guaranteed funding package to all qualified graduate students pursuing a degree by thesis or dissertation.

This funding package can come in the form of teaching assistantships, fellowships, research assistantships, and/or scholarships. On average, newly admitted domestic graduate students received a graduate funding package of $25,000 and $37,000 for international students.

Featured Researchers

Zheng Ming (Jack) Jiang

John Tsotsos

News Featured

Lassonde professor receives provincial funding in recognition of emerging research leadership

Hossein Kassiri, an associate professor in the Electrical Engineering & Computer Science…

The future of disease diagnostics lives at Lassonde

The Laboratory of Advanced Biotechnologies for Health Assessment (LAB-HA) is a modern resear…

Creating accessibility through both research and training

This story originally appeared in the February 2024 Innovatus Issue of YFile. Written b…

Lassonde is tackling the world’s greatest challenges – one SDG at a time

Nearly a decade ago, the United Nations proposed a comprehensive set of goals to unite all c…

Lassonde’s digital technologies WIL program succeeding

This story originally appeared in the February 2024 Innovatus Issue of YFile. Written by Ela…

Lassonde School of Engineering: shaping the student experience

This story originally appeared in the February 2024 edition of Innovatus, produced by York U…

Waterloo Apple PhD Fellowship in Data Science and Machine Learning

Note: this fellowship is no longer accepting applications. this page is for reference only..

The funding will establish a Fellowship Fund to support PhD candidates in Data Science and Machine Learning at the University of Waterloo. Fellowships will be offered starting in 2022.

An Apple PhD Fellow will receive $37,500/year for two years. Up to two fellowships will be awarded each year for two years starting in 2022.

Eligibility & Selection Criteria

• Students must be in the 2 nd or 3 rd year of their PhD program in the School of Computer Science at the University of Waterloo.
• Students must remain registered full-time and be in good standing in their PhD program for the duration of the Fellowship.
• Proposed research must be in the areas of Data Science or Machine Learning.
• Students can receive this award in addition to other internal or external scholarships (e.g., OGS, NSERC, etc.)
• Students already supported by a comparable industry award at the time of selection are not eligible.
• Applications are evaluated on the basis of students' academic achievements, leadership contributions and potential, and the strength of their research proposal.
• Research proposals are evaluated for innovative concepts that are relevant to Apple’s research areas, as well as their potential impact to the field.
• Interested students must submit an application package to the Director of Graduate Studies by March 31
• UW transcript
• a research propoal
• The completed package should be sent to the Director of Graduate Studies at [email protected]

Reference Letters

• 2 references must submit support letters for the student directly to the Director of Graduate Studies at [email protected] . One of the references must be the student’s primary thesis supervisor.

Recipients will be selected in April by the School Director in consultation with the Sponsor.

Contact Computer Science

Work for Computer Science

Visit Computer Science

David R. Cheriton School of Computer Science University of Waterloo Waterloo, Ontario Canada N2L 3G1 Phone: 519-888-4567 ext. 33293 Fax: 519-885-1208

• Contact Waterloo
• Maps & Directions
• Accessibility

The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations .

25,000+ students realised their study abroad dream with us. Take the first step today

Here’s your new year gift, one app for all your, study abroad needs, start your journey, track your progress, grow with the community and so much more.

Verification Code

An OTP has been sent to your registered mobile no. Please verify

Thanks for your comment !

Our team will review it before it's shown to our readers.

• Study in Canada /

Fully Funded PhD Programs in Canada

• Updated on  
• Apr 24, 2023

Canada has emerged as a popular study destination for Indian students who want to pursue higher studies abroad. It is known for its quality education and employability, which is no wonder why more than 1 lakh Indian students choose to go to Canada for higher education every year. A PhD Degree in Canada is more affordable in comparison to that in popular study destinations like the UK or the US . More than 90 universities in Canada offer PhD Programs to international students, and it takes around 3-6 years to complete. It becomes a lot easier for Indian students to manage their expenses if they receive any kind of scholarship . But most of the scholarships are partially funded, so students tend to look for fully-funded programs. If you are also looking for a fully-funded PhD Program in Canada, then you are at the right place. Read the blog to know about the fully-funded PhD Programs offered in Canada.

This Blog Includes:

Why study phd in canada, are you eligible, banting postdoctoral fellowships, nserc postgraduate scholarships, anne vallee ecological fund, trudeau scholarships and fellowships, mcgill university scholarships and student aid, career opportunities after pursuing a phd in canada.

• Top-Class Universities : Many universities in Canada have been ranked among the top universities in the world . Canadian Universities are well known for excellent academic and research facilities.
• Work Opportunities: PhD students are already paid a stipend every year as they contribute to their respective field of study throughout their PhD course. However, not many students know that PhD Students in Canada can do a part-time job for 10 hours a week and stay for up to 3 years through Post Graduation Work Permit after completing their studies.
• Affordable: The tuition fee of pursuing a PhD in Canada ranges from CAD 6,000 to 30,000 (INR 3-17Lakhs). Compared to other countries such as the UK or the US, it is a lot more affordable.
• Financial Aid: There is a wide range of financial aid, i.e. scholarships and grants for international students who want to pursue a doctoral program in Canada. 

Have you heard about the popular Leverage Edu scholarship worth INR 5,00,000! CHECK OUT HERE

Also Read: MBA Courses in Canada

To pursue a doctoral degree, you must first be able to fulfil the eligibility criteria set by the Universities offering the same. Eligibility requirements may vary for different courses, given below is the general eligibility criteria you must meet to pursue a PhD in Canada:

• A postgraduate degree in a related field with good grades.
• English Language Proficiency proof through English Language Tests such as IELTS and TOEFL .
• Good scores in GMAT or GRE , if required.

Join Leverage Live to score high in English Language Tests such as IELTS and TOEFL .

Fully-Funded PhD Programs 

The Canadian Government provides international students with a lot of scholarships for every degree. Mentioned below are the fully-funded PhD Programs offered by the Canadian Government:

Also Read: Scholarships in Canada for Indian and International Students

These fully-funded PhD Programs are offered to international students and home students every year. These are offered to students who are pursuing the following:

• Health research
• Natural sciences
• Engineering
• Social sciences and humanities

Award Grant: CAD 70,000 (INR 41.45 Lakhs) per year

These scholarships are offered to international students for up to 3 years who are pursuing a PhD in the following:

• Natural Sciences

Award Grant: CAD 21,000 (INR 12.43 Lakhs) per year

This scholarship is offered to international students who are pursuing a PhD program in Animal Research at any of the following:

• University of British Columbia
• A recognised Canadian university in Quebec

Award Grant: CAD 1,500 (INR 88,840)

These scholarships are offered to international students pursuing any PhD program in Canada. Every year more than 12 scholarships are awarded to students.

Award Grant of CAD 60,000 (INR 35.53 Lakhs).

These fully-funded scholarships are awarded to international students enrolled in doctoral programs at McGill University .

Award Grant is valued between CAD 3,000 and CAD 12,000 (INR 1.77-7.10 Lakhs).

Also Read: Top Colleges and Universities in Canada

There are a variety of career opportunities based on the chosen field of study after pursuing a PhD in Canada. Mentioned below are some of the popular job profiles along with their average salary for PhD students in Canada:

Some of the popular PhD courses or subjects in Canada for international students are Natural Sciences, Mathematics, Social Sciences, Humanities, Medicine & Health, Business & Management, Engineering and Computer Science.

Canadian Universities have 3 intakes i.e Winter- January, Fall- September, and Summer- May.

The acceptance rate at the University of Waterloo is 53%.

If you are looking for a fully funded PhD program in Canada but are confused with the admission process, get in touch with our experienced counsellors at Leverage Edu on 1800572000. They’ll guide you throughout the process of selecting the best PhD program and university that will equip you with the right exposure to kick-start your career.

Damanpreet Kaur Vohra

Daman is an author with profound expertise in writing engaging and informative content focused on EdTech and Study Abroad. With a keen understanding of these domains, Daman excels at creating complex concepts into accessible, reader-friendly material. With a proven track record of insightful articles, Daman stands as a reliable source for providing content for EdTech and Study Abroad.

Leave a Reply Cancel reply

Save my name, email, and website in this browser for the next time I comment.

Contact no. *

Clinical Psychology PhDs

Hey Grace. Check out these fully funded scholarships for PhD in Clinical Psychology. That is, the Trudeau Scholarships and Fellowships, and Banting Postdoctoral Fellowships. Several universities also offer scholarships for PhD in Clinical Psychology. Some of them are- Harvard University, Arizona State University, and Fordham University. To know more about courses and university visit the study abroad experts at Leverage Edu

Dear Sister Blessy George, This is Teja from India, Can you please guide me or share some info regarding PHD in Environment or climate change or best one which fit or good to settle in canada after doing PHD.

Hey Teja. Phd in climate change is not available in Canada. However, you can pursue a PhD in Environmental Sciences. Some of the popular universities include the University of Prince Edward Island, Wilfrid Laurier University, and Carleton University. Some of the career options after this course include Environmental Scientist, Geographic Information Systems (GIS) Analyst, and professor, among others. To learn more information about this course consult the study abroad experts at Leverage Edu.

I would like to receive guidance on fully funded PhD scholarships in the area of epidemiology in canada. Kindly oblige me this information, I am planning towards admission in January 2024. Thank you.

Hello Blessy I’m currently enrolled in a master’s degree program in international operational law in Sweden. I would like to know of my PhD options in Canada. Please Advise

PhD in History

Leaving already?

8 Universities with higher ROI than IITs and IIMs

Grab this one-time opportunity to download this ebook

Connect With Us

25,000+ students realised their study abroad dream with us. take the first step today..

Resend OTP in

Need help with?

Study abroad.

UK, Canada, US & More

IELTS, GRE, GMAT & More

Scholarship, Loans & Forex

Country Preference

New Zealand

Which English test are you planning to take?

Which academic test are you planning to take.

Not Sure yet

When are you planning to take the exam?

Already booked my exam slot

Within 2 Months

Want to learn about the test

Which Degree do you wish to pursue?

When do you want to start studying abroad.

September 2024

January 2025

What is your budget to study abroad?

How would you describe this article ?

Please rate this article

We would like to hear more.