What is a DPhil?
A DPhil is Oxford's name for a PhD - a higher research degree which allows you to make an original contribution to mathematics in the form of a thesis. A DPhil takes at least three years to complete, and around two thirds of our postgraduate leavers go on into academia (according to the latest destination data). During your DPhil, you will be supervised by at least one academic, although some students will have more than one supervisor (particularly if they are working across disciplines). Unlike CDT courses (and PhDs in other countries), you will begin to do research straight away and there is no prescribed taught component. However, you are very welcome to attend seminars and you can choose from a wide variety of taught courses and skills training to enhance your broader mathematical knowledge and develop your career. There may also be journal clubs or seminar series specific to your area of study. If you enjoy doing mathematics, and would like to be part of a lively and world-class research institute, then you should take a look at our research groups to see if they align with your own interests.
All applications should be submitted online through the centralised university admissions system (https://evision.ox.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app_crs).To find out more about how to apply, see the how to apply page, or go to the University of Oxford's graduate application guide.
For information about scholarships and funding, see the University of Oxford's fees, funding, and scholarship search.
Funding deadlines for students applying for EPSRC and Departmental awards
- 15th November 2019
- 24th January 2020
- 3rd March 2020
Please apply by the 24th January deadline if you would like to be considered for any centrally administered funds. Further information regarding these funds can be found at http://www.ox.ac.uk/admissions/graduate/fees-and-funding.
Frequently Asked Questions
History of Mathematics
Research interests: history of algebra (19th and 20th century), history of modern algebra, and Soviet mathematics.
Mathematical & Computational Finance
Research interests: behavioural finance, financial big data, high dimensional numerical methods, stochastic analysis.
Research interests: rough path theory, Schramm-Loewner evolution, mathematical population genetics, financial mathematics, self-interacting random processes.