Research Focus
Risk modelling, extreme event analysis, actuarial and financial mathematics.
Programme Structure and Funding
This is a full-time PhD programme with a duration of 3 years (36 months). Only 1–2 students will be admitted.
Entry Requirements
Mathematics and Applied Mathematics, Statistics, Financial Mathematics, Applied Mathematics, Probability and Statistics, Computational Mathematics, Actuarial Science, Physics, Computer Science
- Academic background: A second-class upper honours degree (2:1 Honours degree) in a mathematics-related discipline; or a lower-class honours degree in a relevant discipline, together with a Master of Science degree or sufficient evidence of relevant experience.
- Grade requirement: GPA of no less than 3.5.
- Language requirements: TOEFL: 80 (speaking ≥ 21, all other sub-scores ≥ 19); or IELTS: 6.0 (no individual component below 5.5);
- References: 2 academic references.
Application Materials
- Degree certificates and transcripts;
- Personal statement;
- English test score report;
- 2 references;
- Research proposal;
- Writing sample.
Application Period
Applications are accepted throughout the year, but must be submitted three months in advance (e.g. for September entry, apply before 1 June).
Timeline
From now until early April, applicants submit an English CV and relevant materials, and we will conduct a preliminary assessment. In April–May, those who pass the initial screening will be invited to interview with potential supervisors. Before June, after passing the interview, applicants must formally submit their application materials through the official website. From June to July, shortlisted candidates will be interviewed by the school’s admissions committee. In August, offers of admission are issued. Note: the above is the application process for September entry.
- Tuition: for the 2025–26 academic year, approximately £22,110 per year (note: tuition fees rise slightly each year).
Tuition and Living Costs
Living costs
Approximately £15,454 per year (depending on individual circumstances).
Preferred qualifications
Candidates with a background in mathematics or financial mathematics are preferred; candidates with a pure finance background will not be considered.
Career Prospects
As a member of the Russell Group, the University of Birmingham’s quantitative finance PhD programme is known for its rigorous academic standards and close industry links. PhD graduates are highly sought after by top institutions for their strong mathematical modelling, programming and independent research abilities.
Their starting salaries are generally higher than those of other finance graduates; in financial centres such as London, starting salaries for recent PhD graduates typically range from £70,000 to £120,000, and senior professionals can earn several hundred thousand pounds or more per year. In terms of career choices, PhD graduates mainly move into the following areas:
- Academia and regulatory bodies: some graduates choose to enter universities to continue research and teaching.
Others join central banks or financial regulatory agencies, undertaking key work such as financial stability, policy modelling and systemic risk monitoring.
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Investment banking and proprietary trading: mainly employed in the quantitative analysis, derivatives pricing or risk management departments of top global investment banks, or joining well-known proprietary trading firms/hedge funds, engaged in high-frequency trading, algorithmic strategy development and systematic investment research.
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Fintech and technology giants: responsible for core algorithm development such as credit models and risk pricing engines at fast-growing fintech companies. At the same time, the financial business divisions of large technology companies also provide them with a broad platform.
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Asset management companies: serving buy-side institutions, using professional skills for factor model development and alternative data analysis to build and backtest innovative investment strategies and directly create investment value.
