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PhD Programme in Advanced Machine Learning

The Cambridge Machine Learning Group (MLG) runs a PhD programme in Advanced Machine Learning. The supervisors are Jose Miguel Hernandez-Lobato , Carl Rasmussen , Richard E. Turner , Adrian Weller , Hong Ge and David Krueger . Zoubin Ghahramani is currently on academic leave and not accepting new students at this time.

We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and a keen interest in doing basic research in machine learning and its scientific applications. There are no additional restrictions on the topic of the PhD, but for further information on our current research areas, please consult our webpages at http://mlg.eng.cam.ac.uk .

The typical duration of the PhD will be four years.

Applicants must formally apply through the Applicant Portal at the University of Cambridge by the deadline, indicating “PhD in Engineering” as the course (supervisor Hernandez-Lobato, Rasmussen, Turner, Weller, Ge and/or Krueger). Applicants who want to apply for University funding need to reply ‘Yes’ to the question ‘Apply for Cambridge Scholarships’. See http://www.admin.cam.ac.uk/students/gradadmissions/prospec/apply/deadlines.html for details. Note that applications will not be complete until all the required material has been uploaded (including reference letters), and we will not be able to see any applications until that happens.

Gates funding applicants (US or other overseas) need to fill out the dedicated Gates Cambridge Scholarships section later on the form which is sent on to the administrators of Gates funding.

Deadline for PhD Application: noon 5 December, 2023

Applications from outstanding individuals may be considered after this time, but applying later may adversely impact your chances for both admission and funding.

FURTHER INFORMATION ABOUT COMPLETING THE ADMISSIONS FORMS:

The Machine Learning Group is based in the Department of Engineering, not Computer Science.

We will assess your application on three criteria:

1 Academic performance (ensure evidence for strong academic achievement, e.g. position in year, awards, etc.) 2 references (clearly your references will need to be strong; they should also mention evidence of excellence as quotes will be drawn from them) 3 research (detail your research experience, especially that which relates to machine learning)

You will also need to put together a research proposal. We do not offer individual support for this. It is part of the application assessment, i.e. ascertaining whether you can write about a research area in a sensible way and pose interesting questions. It is not a commitment to what you will work on during your PhD. Most often PhD topics crystallise over the first year. The research proposal should be about 2 pages long and can be attached to your application (you can indicate that your proposal is attached in the 1500 character count Research Summary box). This aspect of the application does not carry a huge amount of weight so do not spend a large amount of time on it. Please also attach a recent CV to your application too.

INFORMATION ABOUT THE CAMBRIDGE-TUEBINGEN PROGRAMME:

We also offer a small number of PhDs on the Cambridge-Tuebingen programme. This stream is for specific candidates whose research interests are well-matched to both the machine learning group in Cambridge and the MPI for Intelligent Systems in Tuebingen. For more information about the Cambridge-Tuebingen programme and how to apply see here . IMPORTANT: remember to download your application form before you submit so that you can send a copy to the administrators in Tuebingen directly . Note that the application deadline for the Cambridge-Tuebingen programme is noon, 5th December, 2023, CET.

What background do I need?

An ideal background is a top undergraduate or Masters degree in Mathematics, Physics, Computer Science, or Electrical Engineering. You should be both very strong mathematically and have an intuitive and practical grasp of computation. Successful applicants often have research experience in statistical machine learning. Shortlisted applicants are interviewed.

Do you have funding?

There are a number of funding sources at Cambridge University for PhD students, including for international students. All our students receive partial or full funding for the full three years of the PhD. We do not give preference to “self-funded” students. To be eligible for funding it is important to apply early (see https://www.graduate.study.cam.ac.uk/finance/funding – current deadlines are 10 October for US students, and 1 December for others). Also make sure you tick the box on the application saying you wish to be considered for funding!

If you are applying to the Cambridge-Tuebingen programme, note that this source of funding will not be listed as one of the official funding sources, but if you apply to this programme, please tick the other possible sources of funding if you want to maximise your chances of getting funding from Cambridge.

What is my likelihood of being admitted?

Because we receive so many applications, unfortunately we can’t admit many excellent candidates, even some who have funding. Successful applicants tend to be among the very top students at their institution, have very strong mathematics backgrounds, and references, and have some research experience in statistical machine learning.

Do I have to contact one of the faculty members first or can I apply formally directly?

It is not necessary, but if you have doubts about whether your background is suitable for the programme, or if you have questions about the group, you are welcome to contact one of the faculty members directly. Due to their high email volume you may not receive an immediate response but they will endeavour to get back to you as quickly as possible. It is important to make your official application to Graduate Admissions at Cambridge before the funding deadlines, even if you don’t hear back from us; otherwise we may not be able to consider you.

Do you take Masters students, or part-time PhD students?

We generally don’t admit students for a part-time PhD. We also don’t usually admit students just for a pure-research Masters in machine learning , except for specific programs such as the Churchill and Marshall scholarships. However, please do note that we run a one-year taught Master’s Programme: The MPhil in Machine Learning, and Machine Intelligence . You are welcome to apply directly to this.

What Department / course should I indicate on my application form?

This machine learning group is in the Department of Engineering. The degree you would be applying for is a PhD in Engineering (not Computer Science or Statistics).

How long does a PhD take?

A typical PhD from our group takes 3-4 years. The first year requires students to pass some courses and submit a first-year research report. Students must submit their PhD before the 4th year.

What research topics do you have projects on?

We don’t generally pre-specify projects for students. We prefer to find a research area that suits the student. For a sample of our research, you can check group members’ personal pages or our research publications page.

What are the career prospects for PhD students from your group?

Students and postdocs from the group have moved on to excellent positions both in academia and industry. Have a look at our list of recent alumni on the Machine Learning group webpage . Research expertise in machine learning is in very high demand these days.

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The Department of Pure Mathematics and Mathematical Statistics (DPMMS) at Cambridge has a large number of faculty, postdocs and graduate students, with active research groups across the spectrum of mathematics. Strengths include:

• algebra (group theory, representation theory);
• algebraic geometry (higher-dimensional algebraic geometry, algebraic cycles, abelian varieties, mirror symmetry, geometric aspects of representation theory);
• analysis (geometric analysis, PDEs, mathematical relativity, discrete analysis);
• category theory (logic, proof theory, topos theory, higher-dimensional category theory)
• combinatorics (random structures, combinatorial number theory, Ramsey theory, graph theory)
• differential geometry (dynamics, low-dimensional topology and knot theory, gauge theory, Riemannian geometry, symplectic topology);
• number theory (algebraic number theory, Iwasawa theory, computational number theory);
• probability and statistics (including financial mathematics, operational research, stochastic methods, transport and networking problems).

More detailed information can be found on other departmental webpages. If you have interests in these areas, particularly in the areas of expertise of departmental members, consider coming to Cambridge for a postdoc. (Related research groups at Imperial College, London and at Oxford are close, and there are close links -- including shared participation in some seminars -- with these departments, which adds to the richness of the local mathematical community.) There are various kinds of postdoc available, suitable for people at different levels, and requiring different application procedures. Some more information on each is available below.

• HERCHEL-SMITH POSTDOCTORAL RESEARCH FELLOWSHIPS: A Fellowship in Mathematics is advertised as part of a University wide scheme. We expect to appoint one or more positions each year. The postdocs are tenable for 3 years and are on a competitive salary scale. The positions carry no teaching obligations, and are purely intended for research, although opportunities to give Masters-level or graduate-level courses are available. Applications from all areas of pure mathematics will be considered. Applicants should be towards the end of their PhD or within the first 2-3 years of postdoctoral research. Further particulars will be given on the departmental vacancies page when applications are open, which is typically around late October.
• COLLEGE RESEARCH FELLOWSHIPS: These are prestigious postdocs, funded directly by the Cambridge Colleges. Holders of the positions are fully integrated into DPMMS, with office space in the department as well as their college. The precise details of these positions vary from college to college, and their availability varies from year to year. Typically, colleges offer up to 4 positions, for a tenure of 3 or 4 years. All positions are research positions, with few or minimal teaching obligations; the positions are associated with membership of a college, and typically come with accommodation and other perquisites. In some but not all cases there may be criteria of eligibility (e.g. citizen of an EU member state, or graduand of a UK university, etc). All such positions are advertised in the Cambridge University Reporter: www.admin.cam.ac.uk/reporter/current/weekly/ ; check regularly to see if there are openings in Mathematics. Note that although these positions are competitive across subjects, mathematicians are often successful: in a typical year there are 3 or more pure mathematicians appointed to such positions from the various colleges. For a further view see Professor Körner's unofficial
• Guide for Mathematicians Seeking a Cambridge Research Fellowship
• 1851 ROYAL COMMISSION RESEARCH FELLOWSHIPS: 2-year postdoctoral fellowships in mathematics and biological/physical sciences, which can be held at any UK university. Applicants should recently have completed or be about to complete a PhD: there are strict eligibility criteria (UK or Commonwealth national, or citizen of Ireland or Pakistan). Further information and application deadlines can be found here.
• MARIE-CURIE POST-DOCTORAL FELLOWSHIPS: 2 year research-only postdoctoral positions, funded by the EU (to a generous salary), available to EU nationals to work in a country which is neither the country of their PhD nor their home country. Open calls for applications -- which are often but not always present -- can be found with some effort via the website ; follow links for Individual Researchers. Marie-Curie grant applications are made jointly with the department, and are directly linked to the research of a specific member of faculty. The first stage in applying is to make contact with such a potential supervisor and discuss possible projects and establish whether or not there is support for and scope for a plausibly successful application.
• ROYAL SOCIETY UNIVERSITY RESEARCH FELLOWSHIPS: Unique 8 year research-only fellowships. These are suitable for outstanding young mathematicians who have completed their PhD and already done one postdoc. Applications must have emphatic support from DPMMS; if you are interested in applying, contact a member of the department in a related subject. Further information is available from their website :     The deadline is typically in very early November of the preceeding year. Results are only available in April, but who else is going to give you 8 years money with no obligations?

POSSIBILITIES NEARBY: Imperial College London is only an hour from Cambridge, also has outstanding research groups in various fields (including the geometry group led by Simon Donaldson), and we often travel to and from one another's seminars. Oxford is slightly further but by no means inaccessible. Why not try applying there too? More information can be found on the websites https://www.imperial.ac.uk/mathematics/research/opportunities/ , and www.maths.ox.ac.uk/ . Example opportunities include:

• Chapman Fellowships at Imperial
• Colleges at the University of Oxford also offer Junior Research Fellowships, details are usually available via the Gazette www.ox.ac.uk/gazette/ .

Related sites

• Statistical Laboratory
• Faculty of Mathematics
• Isaac Newton Institute for Mathematical Sciences

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Master of Science in Mathematics and Applied Statistics

At California State University Long Beach

The Department of Mathematics & Statistics at CSULB offers four Master of Science programs .

Teaching & Graduate Assistantships provide students with funding and with college teaching experience.

Graduates have found employment in both technical and academic workplaces. Many have obtained tenure-track community college professorships. Others have gone on to PhD programs.

MS in Mathematics, General Option

Study and explore concepts in areas including analysis, algebra, topology, and geometry, as well as the   deep connections between and among these subjects.

MS in Mathematics, Option in Applied Mathematics

Study applied math methods with an emphasis on computational skills.

MS in Mathematics, Option in Mathematics Education for Secondary School Teachers

A flexible program that includes coursework in mathematics and in mathematics education research & theory.

MS in Applied Statistics

Using conceptual foundations and statistical software packages ( SAS , R , and Python ), students are trained to analyze real world data appropriately and communicate their findings effectively. The tools learnt here will open the door for careers in data science and analytics, or prepare you for a PhD in a variety of related fields.

More Information & Application Instructions

Apply for Teaching and Graduate Assistantships

Contact Us with Questions

Dr. John Brevik, Pure Mathematics Graduate Advisor, [email protected]

Dr. Paul Sun, Applied Math Graduate Advisor, [email protected]

Dr. Xuhui Li, Mathematics Education Graduate Advisor, [email protected]

Dr. Kagba Suaray, Statistics Graduate Advisor, [email protected]

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Medicine (Graduate course), MB and BChir

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Medicine at Cambridge

Studying Medicine at Cambridge prepares you to become a compassionate, thoughtful, skilled member, and leader, of the medical profession.

Study this accelerated, 4 year course if you already have an undergraduate degree with 2.1 or above and you’re a home fee status student.  

Medicine graduate course at Cambridge

This course combines core medical science with clinical medicine.

You’ll have the opportunity to develop your clinical skills through direct patient contact in hospital and community environments throughout the East of England.

This is an intense course, so you won’t have the time to do an additional degree, undertake optional study or exchange programmes at the same time.

The University departments collaborate with:

• the 4 Cambridge Colleges that offer the course
• 6 general practices in West Suffolk, and the West Suffolk Hospital in Bury St Edmunds, which is the main clinical base for the course

This course is for you if:

• it’s your second undergraduate degree
• you’re a home fee status student

If you don’t already have another undergraduate degree or you’re an international fee status student, you can:

• apply to study our standard Medicine course , which is open to everyone

If you successfully complete this course, you’ll graduate with Bachelor of Medicine as well as Bachelor of Surgery MB, BChir.

Teaching and facilities

Clinical teaching is delivered on the wards and in general practice. There are also additional opportunities to attend general and specialist outpatient clinics.

The course is based in Cambridge. Some of the course is also delivered in regional hospitals or practices, to take advantage of the different educational opportunities they offer.

This Cambridge Medical course features teaching from world experts, progressive technology and modern facilities.

You'll also have access to the impressive Cambridge University Library, one of the world’s oldest university libraries.

Course costs

When you go to university, you’ll need to consider two main costs – your tuition fees and your living costs (sometimes referred to as maintenance costs).

Your living costs will include costs related to your studies that are not covered by your tuition fees. There are some general study costs that will apply for all students – you can find details of these costs here .

Other additional course costs for Graduate Medicine are detailed below. If you have any queries about the costs, please contact the School of Clinical Medicine.

To buy and maintain essential equipment for the course, the estimated cost is £60. Equipment includes:

• University approved scientific calculator
• Safety glasses
• Dissecting instruments

You will also need:

• Theatre clogs – estimated contribution £10
• Stethoscope – estimated cost £60 to £100

Clinical Placements

Clinical placements take place in all 4 years of the course and will vary from student to student. You will be on placement at hospitals across the East Anglia Region. 

The types of cost you will be expected to cover and those covered by the School of Clinical Medicine are detailed below.

• The School will pay the cost of one return journey for each clinical placement.
• Costs of accommodation near the clinical placement hospitals are covered by the School.
• You are expected to cover basic subsistence costs during your placements.

College accommodation

In the first 2 years of the course, you’ll need some College accommodation outside term time. The cost of this will vary by College, but should be around £130 per week. Around 9 weeks of additional accommodation will be needed across the first 2 years of the course.

Optional study abroad

There is an opportunity to go abroad for 7 weeks. If you do, the estimated cost is around £3,000. College and national grants may be available to help you cover these costs.

Course funding

You may be able to get funding from the NHS to help pay for your studies. Find out more about the NHS Bursary .

You may also be able to get funding from the Cambridge Bursary Scheme. See the Cambridge Bursary Scheme website for details.

Becoming a doctor

As a graduate you’ll be able to get provisional registration with the General Medical Council (GMC). The GMC has certain expectations about attitudes, behaviour and performance of medical students.

Read about registering as a doctor on the General Medical Council website.

You can then go anywhere in the country to complete two years as a junior doctor. These are known as Foundation Years. At the end of these two years you can register with the GMC as a doctor.

Read about the foundation programme on the UK Foundation Programme website.

If you’re graduating from 2025 onwards, you’ll need to take the Medical Licensing Assessment (MLA).

This is a test introduced by the General Medical Council to test the core knowledge, skills and behaviours needed to practise safely in the UK.

Read about the medical licensing assessment on the General Medical Council website.

Your future career

We enable students to develop the excellent communication, clinical, interpersonal and professional skills required for good medical practice.

As a graduate you’ll be ready for a range of careers across:

• general practice
• other specialities

If you’re interested in an academic research career, our MB/PhD Programme leads to the MB, BChir and PhD degrees. Read about the MB/PhD on the School of Clinical Medicine website .

Teaching is delivered through a combination of lectures, practical classes that include dissections, and small-group supervisions. There are typically 20 to 25 teaching hours each week.

Clinical teaching is delivered on the wards and in general practice.

Teaching is supported by small-group sessions with a Graduate Course Tutor, who is a senior clinician in West Suffolk, groups in general practice, the Colleges and hospital.

Your ongoing progress is reviewed each week and term by your College supervisors.

Formal assessment, which determines your ability to proceed with the course, includes written and practical examinations, coursework submission and clinical assessments.

Practical work is undertaken and assessed in all years of the degree programme.

You won't usually be able to resit any of your exams, except for professional qualifying exams.

Years 1 and 2

You study core medical science and clinical medicine with those on the Standard Course in Medicine.

We’ll provide you with the scientific basis that will allow you to develop your medical career to the full.

The main areas of learning are covered by courses in:

• Functional Architecture of the Body, where you examine and dissect the human body, and includes living anatomy, and the use of modern imaging techniques
• Homeostasis, which covers the physiological systems that underpin the body's regulation of its internal environment and its responses to external threats. You also have related practical classes in experimental physiology and histology (the microscopic structure of tissues)
• Molecules in Medical Science, which examines the chemical and molecular basis of how cells and organisms work
• Biology of Disease, dealing with the nature and mechanisms of disease processes
• Mechanisms of Drug Action, which provides an understanding of the basic mechanisms of drug action at the levels of both drug-receptor interactions and the effects on body systems
• Neurobiology and Human Behaviour, covering the structure and function of the sense organs and central nervous system, the effects of drugs on brain function, and various psychological aspects
• Human Reproduction, where you look at the biology of the human reproductive system, its social context, and its influence on demographic trends
• Head and Neck Anatomy, where you learn about the structure and organisation of the human head and neck. There is a focus on the relationship of structure to function

The clinical strand of Years 1 and 2 involves:

• Foundations of Evidence-Based Practice, covering epidemiology and how it is applied in medicine
• Social and Ethical Context of Health and Illness, which is an introduction to the broader cultural aspects of healthcare and the medical profession in Britain, working with patients and colleagues, both in hospital and in the community
• Preparing for Patients involves meeting patients in general practice in the first year, in a hospital setting in second year, and through visiting community-based health-related agencies in second and third year

You’ll also go on 5 clinical placements where you’ll learn clinical skills:

• clinical placements take place in West Suffolk, during the University vacations
• you’ll spend one and a half day each week in a local general practice and the other days in a hospital environment.

You spend the year doing specialist clinical practice.

You go on placements at Addenbrooke's Hospital, or other hospitals in East Anglia. You’ll learn alongside students on the standard Medicine course doing their clinical studies.

Your placements are based around the stages of the human lifespan:

• growth, development and childhood illness
• women’s health
• major adult diseases – cardiothoracic medicine, oncology, infectious disease
• neurosciences and mental health

You spend the year doing applied clinical practice. You go on clinical placements at West Suffolk Hospital and in General Practice. This will reinforce everything you’ve learnt in first and second year.

Your placements focus on:

• integration of primary care, secondary care and the specialties
• following the patient journey

For further information about this course see the School of Clinical Medicine website .

Changing course

It’s really important to think carefully about which course you want to study before you apply. 

In rare cases, it may be possible to change course once you’ve joined the University. You will usually have to get agreement from your College and the relevant departments. It’s not guaranteed that your course change will be approved.

You might also have to:

• take part in an interview
• complete an admissions test
• produce some written work
• achieve a particular grade in your current studies
• do some catch-up work
• start your new course from the beginning 

You should contact your College’s Admissions Office if you’re thinking of changing your course. They will be able to give you advice and explain how changing courses works.

Minimum offer level

A level and undergraduate degree:  

• A*A*A (or equivalent in other qualifications) if you graduated with a 2.1 or are yet to complete your degree
• ABB (or equivalent in other qualifications) if you graduated with a first class degree
• 41-42 points, with 776 at Higher Level if you graduated with a 2.1 or are yet to complete your degree
• 38-40 points, with 665 at Higher Level if you graduated with a first class degree

Other qualifications : Check which other qualifications we accept

You can't apply for this course if you:

• want to take a gap year before you start the course
• do not have home fee status
• have failed at or been excluded from another medical school

Work experience: work experience plays a large role in our selection process. Competitive candidates typically have a variety of work experience, built up over several years. This can be paid or voluntary, in a health or social care organisation.

Subject requirements

• A level Chemistry at grade A or above, passed within 7 years of entry to the course.
• At least one of Biology, Physics, Mathematics, at A level or AS level.

Please note that these requirements do not need to be met to apply; you can apply with pending qualifications.

IB Higher Level subjects or Scottish Highers in relevant subjects will satisfy the A level requirements.

If you do not have recent science A levels (or equivalent), but believe your degree meets the subject requirements, please contact a College .

Admissions test

You will need to take the University Clinical Aptitude Test .

You will need to register in advance for this test.

Visit our UCAT page for more information .

When you apply 

• you can apply to study this course at Hughes Hall, Lucy Cavendish, St Edmund’s or Wolfson Colleges 
• you can also apply to the standard Medicine course in Medicine instead, which takes 6 years to complete, as long as you are applying to Lucy Cavendish, St Edmund's or Wolfson Colleges (not available at Hughes Hall) 
• when it’s time for you to apply for UCAS you will also need to complete the Graduate Course in Medicine application form. 

Extra requirements if you get offered a place 

If you get offered a place on this course we’ll need to check a few extra things with you. We’ll explain what you need to do when we send the offer letter out to you.  

Everything you tell us will be confidential. Some of the usual extra checks include: 

• a criminal record check. In the UK this is called a DBS (Disclosure and Barring Service) check. Find out more about criminal record checks  
• vaccinations – you’ll need to be immunised against certain infectious diseases 
• blood test – to make sure you can safely take part in certain surgical procedures 
• occupational health assessment  
• if you have a disability, specific learning disabilities, SpLD or a long-term health condition we’ll discuss your needs with you  

Declaring minor misdemeanours 

Minor misdemeanours will not necessarily prevent you from entering the medical profession. 

You should declare these in your UCAS application. We will send you the relevant forms to complete if you are offered a place. 

Submitted work 

You won’t need to submit any written work before your interview. You may be asked to do some reading instead, but we will let you know if this is the case.  

Offers above the minimum requirement

The minimum offer level and subject requirements outline the minimum you'll usually need to achieve to get an offer from Cambridge.

In some cases, you'll get a higher or more challenging offer. Colleges set higher offer requirements for a range of reasons. If you'd like to find out more about why we do this, check the information about offers above the minimum requirement  on the entry requirements page.

All undergraduate admissions decisions are the responsibility of the Cambridge Colleges. Please contact the relevant College admissions office if you have any queries.

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• Find out how to apply and how our admissions processes work - Our admissions process is slightly different to other universities. We’ve put together a handy guide to tell you everything you need to know about applying to study at Cambridge.
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Key information

Hughes Hall, Lucy Cavendish, St Edmund's and Wolfson Colleges

Additional notes

• To apply for this course, you must complete a Supplementary Application Form in addition to your UCAS application ( see above ).
• If you apply for both the Graduate Course in Medicine (A101) and the Standard Course in Medicine (A100) , you must apply to the same College for both courses. 
• It is not possible to apply for deferred entry.
• Whilst original College choice will be taken into account, you may be offered a place at any of the four admitting Colleges.

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Nine Science Terps Awarded 2024 National Science Foundation Graduate Research Fellowships

Nine current students and recent alums of the University of Maryland’s College of Computer, Mathematical, and Natural Sciences (CMNS) received prestigious  National Science Foundation (NSF) Graduate Research Fellowships , which recognize outstanding graduate students in science, technology, engineering, and mathematics.

Across the university, 22 current students and recent alums were among the 2024 fellowship winners announced by the NSF. The college’s nine awardees include four current graduate students and five recent alums.

CMNS graduate student recipients:

• Mikayla Greiner, biophysics
• Megan Ma, entomology
• Sadia Nourin (B.S. ’23, computer science; B.S. ’23, finance), computer science
• Emily Wisinski, atmospheric and oceanic science

CMNS alum recipients:

• Marcus Benyamin (B.S. ’17, mathematics ; B.S. ’17, chemical engineering)
• Kaitlyn Dold (B.S. ’22, chemistry )
• Katharina Krstic (B.S. ’22, chemistry )
• Siri Neerchal (B.S. ’21, mathematics ; B.S. ’21, history)
• Ashley Weiss (B.S. ’22, biological sciences )

NSF fellows receive three years of support, including a $37,000 annual stipend, a $16,000 cost-of-education allowance for tuition and fees, and access to opportunities for professional development.

The NSF Graduate Research Fellowship Program helps ensure the vitality of the human resource base of science and engineering in the United States and reinforces its diversity. The program recognizes and supports outstanding graduate students in NSF-supported science, technology, engineering, and mathematics disciplines who are pursuing research-based master’s and doctoral degrees at accredited U.S. institutions.

Since 1952, NSF has funded more than 60,000 Graduate Research Fellowships out of more than 500,000 applicants. At least 42 fellows have gone on to become Nobel laureates and more than 450 have become members of the National Academy of Sciences.

About the College of Computer, Mathematical, and Natural Sciences

The College of Computer, Mathematical, and Natural Sciences at the University of Maryland educates more than 8,000 future scientific leaders in its undergraduate and graduate programs each year. The college's 10 departments and six interdisciplinary research centers foster scientific discovery with annual sponsored research funding exceeding $250 million.

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Abby robinson, related news.

• Biophysics Graduate Program

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MPhil in Mathematics

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Course closed:

Mathematics is no longer accepting new applications.

The MPhil is offered by the Faculty of Mathematics as a full-time period of research and introduces students to research skills and specialist knowledge. Its main aims are:

• to give students with relevant experience at first-degree level the opportunity to carry out focused research in the discipline under supervision; and
• to give students the opportunity to acquire or develop skills and expertise relevant to their research interests. 

Programme Structure

The MPhil is a 12-month full-time programme and involves minimal formal teaching: students are integrated into the research culture of the Department of Pure Mathematics & Mathematical Statistics (DPMMS), or the Department of Applied Mathematics and Theoretical Physics (DAMTP), as appropriate. They may attend the Departments’ programmes of research seminars and other postgraduate courses, but most research training is overseen by their research supervisor, and, where appropriate, within a research group. 

Opportunities to develop research and transferable skills also exist through attendance at training sessions organised at Department, School or University level as part of the wider postgraduate programme, and informally through mentoring by fellow students and members of staff.

Partnership with St John's College

The Martingale Foundation, Faculty of Mathematics and St John's College ( https://www.joh.cam.ac.uk/ )  have partnered to ensure that students admitted via the Martingale Scholars Programme will typically be admitted as members of St John's College and become part of a Martingale Scholars Cohort.  If you would like more information on this partnership, please contact the Faculty directly. 

Learning Outcomes

By the end of the programme, students will have:

• acquired a comprehensive understanding of techniques, and a thorough knowledge of the literature, applicable to their own research;
• demonstrated originality in the application of knowledge, together with a practical understanding of how research and enquiry are used to create and interpret knowledge in their field;
• shown abilities in the critical evaluation of current research and research techniques and methodologies;
• demonstrated some self-direction and originality in tackling and solving problems, and acted autonomously in the planning and implementation of research.

MPhil students wishing to apply for a PhD at Cambridge must apply via the Postgraduate Admissions Office for continuation by the relevant deadline.

The Postgraduate Virtual Open Day usually takes place at the end of October. It’s a great opportunity to ask questions to admissions staff and academics, explore the Colleges virtually, and to find out more about courses, the application process and funding opportunities. Visit the  Postgraduate Open Day  page for more details.

See further the  Postgraduate Admissions Events  pages for other events relating to Postgraduate study, including study fairs, visits and international events.

Departments

This course is advertised in the following departments:

• Faculty of Mathematics
• Department of Applied Mathematics and Theoretical Physics
• Department of Pure Mathematics and Mathematical Statistics

Key Information

12 months full-time, 2 years part-time, study mode : research, master of philosophy, department of applied mathematics and theoretical physics this course is advertised in multiple departments. please see the overview tab for more details., course - related enquiries, application - related enquiries, course on department website, dates and deadlines:, michaelmas 2024 (closed).

Some courses can close early. See the Deadlines page for guidance on when to apply.

Funding Deadlines

These deadlines apply to applications for courses starting in Michaelmas 2024, Lent 2025 and Easter 2025.

Similar Courses

• Applied Mathematics and Theoretical Physics PhD
• Pure Mathematics and Mathematical Statistics PhD
• Mathematics (Pure Mathematics) MASt
• Mathematics (Applied Mathematics) MASt
• Mathematics (Theoretical Physics) MASt

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