MSc Financial Mathematics (MSc FM)
A mathematical-finance master covering pricing, hedging and financial risk with statistics and computational methods. Four taught core modules, electives and a dissertation make up the 180-credit programme.
What you’ll study
Core
- Financial Mathematics Dissertation
- Asset Pricing in Continuous Time
- Finance and Numerics
- Market Risk and Portfolio Theory
- Statistical Methods and Data Analytics for Finance
Electives
- Applied Computational Finance
- Stochastic Processes
- Mathematics and Statistics of Algorithmic Trading
- Interest Rates and Credit Modelling
- Mathematical Climate Finance
- Forecasting
- Quantitative Operational Risk Modelling
Source: ucl.ac.uk ↗
Before you apply
- Background
- Mathematics or another relevant subject; significant undergraduate mathematics background
- Maths
- probability; real analysis; differential equations; statistics
- English
- UCL English-language Level 2
Source: ucl.ac.uk ↗
After graduation
The programme doesn’t publish an employment report.
Want to see what employers ask for? Browse open quant roles.
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 They’re personal views and may be out of date.
- UCL MSc Financial Mathematics (QuantNet)
- Warwick MSc Statistics with Finance vs UCL MSc Financial Mathematics (Reddit)
Current page lists September 2027 entry and an indicative module list. Published course dates say applications open, while a lower application section says closed; no admissions-open claim is made.
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.