MSc Mathematical Finance (MSc MF)
A long-running one-year maths-led finance MSc covering stochastic calculus and Black-Scholes theory, interest rate modelling and Python-based computational finance, finishing with a summer dissertation.
What you’ll study
Core
- Mathematical Methods of Finance
- Theory of Finance
- Stochastic Calculus and Black-Scholes Theory
- Computational Finance with Python
- Interest Rate Modelling
- Finance Dissertation
Electives
- Corporate Finance and Governance
- Financial Econometrics
- Statistics for Artificial Intelligence I
Source: york.ac.uk ↗
Before you apply
- Background
- 2:2 or equivalent in Mathematics or a relevant subject; business/finance/economics graduates need at least two years of university maths
- Maths
- university-level mathematics
- English
- IELTS 6.0 overall, 5.5 per component
- Other
- Some applicants may need the online pre-sessional (min 60%)
Source: york.ac.uk ↗
After graduation
- Typical first roles
- Quantitative financial analyst, Credit risk manager, Investment manager, Risk analyst, Financial derivatives trader
Source: york.ac.uk ↗
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What students and graduates say
Threads from QuantNet and other forums where applicants, students and graduates discuss this programme. They’re personal views and may be out of date.
- University of York - MSc Mathematical Finance (QuantNet resource) (QuantNet)
- Quantitative finance masters comparison UK (QuantNet)
Risk.net Quant Guide 2022 (seen in search, not opened) reported 23 full-time students and 157 applications.
Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.