Applications for funded places to start in October 2020 will open on 30 September 2019 and close on 24 January 2020.
The Department of Mathematics at York offers the opportunity to study for the degree of Doctor of Philosophy (PhD), as well as the degree of Master of Philosophy (MPhil) in Mathematics, in a thriving research environment. You should first have a look at our research, where you will find for each area a list of staff members and their research supervision interests, from which you can click through to individual staff pages. You may like to make email contact to discuss a possible project, but many students come to us with no definite project or supervisor - feel free to apply anyway.
If you would like to be considered for a place on one of our research degrees (PhD, PhD (with Foundation Phase), MPhil or MSc by Research), please apply online. We cannot accept a CV or any other documentation in place of a formal application. Please include an explanation (in your own words) of the area(s) in which you wish to carry out research. Please also complete the personal statement section of the application form, telling us about why you want to undertake a research degree. Don't forget to tell us about any relevant experience you have, such as a summer project or a topic that you have researched on your own, even if it didn't form part of your previous degree(s).
No applicant is offered a place without an interview (either face-to-face or by Skype or other video-conferencing platform). If your first language is not English, you should be fluent enough to speak confidently about your intended area of research and discuss your mathematical background and interests with a panel of academics.
The Department of Mathematics supports the principles laid out in the London Mathematical Society Good Practice Scheme. We value diversity and aim to create an inclusive community where everyone is treated with dignity and respect regardless of individual characteristics such as age, gender, disability, religion or ethnicity.
The Department is firmly committed to women's progression in mathematics and holds the Bronze Award of the Athena SWAN programme for women in science. Several of our academic and research staff are women, along with about 40% of our students. Our female graduates work in fields as diverse as medical statistics, defence and the financial industry, and for employers such as BAE Systems and Microsoft. York is a great place for a woman to study and graduate in mathematics
A general overview of funding possibilities for postgraduate study, including Studentships offered by the Department of Mathematics, is available here. Additionally, the University of York offers a number of scholarships for research students to which specific deadlines apply.
Click here for more information about Tuition Fees.
You can apply for these courses using our online application system. If you've not already done so, please read the application guidance first so that you understand the various steps in the application process. Then click the "Apply Now" button for the course for which you wish to apply.
Whilst research courses can be started at different points in the year, it is preferable for students to start their courses at the beginning of October (and be in York for the start of the Autumn term) so that they can take a full part in induction and orientation activities. For more information about University Term dates click here.
Applicants who have their own funding should submit their applications approximately six months before their intended start date wherever possible.
If you wish to be considered for EPSRC or departmental funding, you should note that:
Prospective students who may be able to fund their studies from their own (or family) funds or scholarships external to the University of York are welcome to apply at any time.
The PhD is a research degree by thesis. The normal period of enrolment is three years. After that, students may have an additional period of up to 12 months in which to complete and submit their thesis. Extensions beyond this may only be granted in exceptional circumstances.
The first two terms of study normally include the equivalent of six 10 hour graduate level courses taken from the programme of study provided by the EPSRC-funded MAGIC consortium graduate school (lectures by video link between 20 UK mathematics departments).
Students' progress is monitored and supported by a Thesis Advisory Panel, usually consisting of a minimum of three academic members of staff, including supervisor(s). Thesis Advisory Panels for full-time students usually meet twice a year (usually once a year for part-time students). Further information on the role of Thesis Advisory Panels and on formal reviews of progress can be found in the Policy on Research Degrees.
The PhD (with Foundation Phase) runs over four years and may be suitable for applicants who require more extensive masters-level initial training before they embark on a PhD research project.
The first two terms comprise an integrated portfolio of lecture and reading courses (equivalent to 80 hours of MAGIC courses) and a project report. The taught component is aimed at broadening and deepening the student's general mathematical knowledge in an appropriate range of specialist areas. Approximately half of the taught courses will be chosen to be relevant to the student's broad prospective research area and will normally include a directed learning module or reading course, worth the equivalent of two 10 hour MAGIC courses. The reading course will be chosen to provide a foundation for the student's study project. The study project report will be around 30-40 pages in length. In order to progress to the research phase of the PhD, students will have to pass all components. Students who continue to the PhD will submit their thesis by the end of their fourth year of registration.
The MPhil is also a research degree by thesis, the minimum period of study being two years. The thesis must be submitted before the end of the third year of study. Extensions beyond this may only be granted in exceptional circumstances.
Applications for part-time study will be considered from UK/EU applicants.
Students who may be interested in studying for a research degree over one year should refer to the course page for the MSc (by Research) in Mathematics.
Continued registration on any course is conditional upon satisfactory academic progress and attendance.
Throughout the course of study every research each student will have a supervisor (sometimes, a student may have two supervisors) who will guide their work. In addition, progress is monitored by the student's Thesis Advisory Panel in two meetings each year.
The MPhil and PhD may be taken part-time over a period longer than the corresponding full-time period. Please indicate this on your application form if you are interested in this option. However, students from outside the European Union should note that only full-time students are eligible to apply for a Tier 4 student visa.
Applicants for admission to graduate research degrees in Mathematics should have or expect to have a good honours degree (equivalent of 2.i or higher) in Mathematics, or a good honours degree in which Mathematics has formed a substantial part of the course.
Further information on the University's English language requirements can be found here. Please note that the English language qualification should have been obtained within two years of the date on which you are due to start your course (this also applies to degree courses undertaken in countries listed on the UKVI website - nationals of these countries are also normally exempt from the requirements).
The University of York seeks formal confirmation of all test results.
Algebra: Emilie Dufresne email@example.com
Geometry & Analysis: Graeme Wilkin firstname.lastname@example.org
Mathematical Physics (except Quantum Information): Benoit Vicedo email@example.com
Math Biology & Chemistry: Mitya Pushkin firstname.lastname@example.org
Quantum Information: Roger Colbeck email@example.com
Number Theory: Evgeniy Zorin firstname.lastname@example.org
Mathematical Finance & Stochastic Analysis: Zdzislaw Brzezniak email@example.com
Statistics: Wenyang Zhang firstname.lastname@example.org