Why Mathematical Finance @ Oxford?
The Mathematical and Computational Finance Group (MCFG) at Oxford is one of the largest and most dynamic research environments in mathematical finance in the world.
We combine core mathematical expertise with interdisciplinary approach. We foster lively interactions between researchers coming from different backgrounds and a truly impressive seminar programme, all this within one of the world's top universities, singular through its tradition and unique environment.
If you are passionate about mathematics and research and want to pursue a DPhil in Financial Mathematics, Oxford simply offers one of the best and most exciting places to do it!
Research Topic and Supervisor Allocation
We welcome students with their own particular ideas of research topic as well as students with a broad interest in the field of Mathematical Finance. You have an opportunity to tell us about your research passions, and indicate potential supervisors, in your application form. This will be followed up during the interview.
In light of this, if you are offered a place, an appropriate supervisor will be proposed prior to your arrival in Oxford. However, there can be some flexibility over this once you arrive. Keeping with the Oxford tradition, we offer our students independence and respect as early researchers, and always aim to match students with the most appropriate supervisors.
Funding for DPhil students is available from a variety of sources. Please note that some funding opportunities have deadlines: it is advised to apply before the January 24 deadline in order to maximise your chances of receiving funding.
Funding is also available through the Centre for Doctoral Training in Mathematics of Random Systems. To apply for this program please visit this website.
DPhil students are encouraged to take a number of graduate courses. These include lectures in the full-time MSc Programme in Mathematical and Computational Finance as well as Part C lectures in the Mathematical Institute. Note however that the possibility to attend a given lecture course is not automatic and, although usually granted, is subject to permission from the Lecturer.
Advanced courses are also offered through the Centre for Doctoral Training in Mathematics of Random Systems.
Admissions for DPhil
Outstanding students with a strong background in analysis, probability and data science are welcome to apply for our DPhil program. Each year we receive a large number of excellent applications. The selection process is extremely competitive and we can only admit a handful of candidates each year.
In order to apply for DPhil studies in Mathematical & Computational Finance, please indicate your interest in Mathematical and Computational Finance on your application form. Selected applicants will be invited for an interview -- either in person or by Skype. Successful applicants will be considered for funding (see below).