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- Mathematical and Computational Finance @ Oxford
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DPhil (PhD) studies in 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.
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 video call.
For general information on DPhil please consult our Doctor of Philosophy (DPhil) admissions pages .
For the CDT Mathematics of Random Systems please consult our the CDT website .
Or please contact @email .
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 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 How to Apply .
Email: @email Phone: +44 (0)1865 615234
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DPhil Graduates
The Mathematical and Computational Finance Program at Stanford University (“MCF”) is one of the oldest and most established programs of its kind in the world. Starting out in the late 1990’s as an interdisciplinary financial mathematics research group, at a time when “quants” started having a greater impact on finance in particular, the program formally admitted masters students starting in 1999. The current MCF program was relaunched under the auspices of the Institute for Computational and Mathematical Engineering in the Stanford School of Engineering in 2014 to better align with changes in industry and to broaden into areas of financial technology in particular. We are excited to remain at the cutting edge of innovation in finance while carrying on our long tradition of excellence.
The MCF Program is designed to have smaller cohorts of exceptional students with diverse interests and viewpoints, and prepare them for impactful roles in finance. We are characterized by our cutting edge curriculum marrying traditional financial mathematics and core fundamentals, with an innovative technical spirit unique to Stanford with preparation in software engineering, data science and machine learning as well as the hands-on practical coursework which is the hallmark skill-set for leaders in present day finance.
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Discover more about postgraduate research
PhD Financial Mathematics / Overview
Year of entry: 2025
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The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in a discipline directly relevant to the PhD (or international equivalent) OR any upper-second class (2:1) honours degree and a Master’s degree at merit in a discipline directly relevant to the PhD (or international equivalent).
Other combinations of qualifications and research or work experience may also be considered. Please contact the admissions team to check.
Full entry requirements
Apply online
In your application you’ll need to include:
- The name of this programme
- Your research project title (i.e. the advertised project name or proposed project name) or area of research
- Your proposed supervisor’s name
- If you already have funding or you wish to be considered for any of the available funding
- A supporting statement (see 'Advice to Applicants for what to include)
- Details of your previous university level study
- Names and contact details of your two referees.
Before applying we also recommend that you read the 'Advice to Applicants' section.
Programme options
Programme description.
The Department of Mathematics has an outstanding research reputation and a thriving community of PhD students.
Opportunities for PhD research are available in a range of Financial Mathematicsresearch topics or Mathemathics research areas . For more information, please see advice on choosing a project or find out more about specific projects . Please contact the relevant individual members of staff for information about a specific project, or get in touch with the Postgraduate Admissions Tutor .
Students may enter our graduate programme in Mathematical Finance by initially taking our taught M.Sc. course over 1 year. This, subject to satisfactory progress, can lead to admission to the PhD programme.
Visit our Events and Opportunities page to find out about upcoming open days and webinars.
For entry in the academic year beginning September 2025, the tuition fees are as follows:
- PhD (full-time) UK students (per annum): Band A - TBC; Band B - £7,400; Band C - £10,500; Band D - £15,200; Band E - £25,700 International, including EU, students (per annum): Band A - £29,400; Band B - £31,500; Band C - £37,300; Band D - £45,200; Band E - £59,900
- PhD (part-time) UK students (per annum): Band A £TBC; Band B £7,400; Band C £10,500; Band D £15,200; Band E £25,700 International, including EU, students (per annum): Band A £29,400; Band B £31,500; Band C £37,300; Band D £45,200; Band E £59,900
Further information for EU students can be found on our dedicated EU page.
The programme fee will vary depending on the cost of running the project. Fees quoted are fully inclusive and, therefore, you will not be required to pay any additional bench fees or administration costs.
All fees for entry will be subject to yearly review and incremental rises per annum are also likely over the duration of the course for Home students (fees are typically fixed for International students, for the course duration at the year of entry). For general fees information please visit the postgradua t e fees page .
Always contact the Admissions team if you are unsure which fees apply to your project.
Scholarships/sponsorships
There are a range of scholarships, studentships and awards at university, faculty and department level to support both UK and overseas postgraduate researchers.
To be considered for many of our scholarships, you’ll need to be nominated by your proposed supervisor. Therefore, we’d highly recommend you discuss potential sources of funding with your supervisor first, so they can advise on your suitability and make sure you meet nomination deadlines.
For more information about our scholarships, visit our funding page to search for scholarships, studentships and awards you may be eligible for.
Contact details
Our internationally-renowned expertise across the School of Natural Sciences informs research led teaching with strong collaboration across disciplines, unlocking new and exciting fields and translating science into reality. Our multidisciplinary learning and research activities advance the boundaries of science for the wider benefit of society, inspiring students to promote positive change through educating future leaders in the true fundamentals of science. Find out more about Science and Engineering at Manchester .
Programmes in related subject areas
Use the links below to view lists of programmes in related subject areas.
- Mathematics
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