Universities / University of York
MSc Financial Engineering (MSc FE)
Blends applied and computational mathematics with econometrics and quantitative finance, with core time-series and financial econometrics alongside stochastic calculus and Python.
What you’ll study
Core
- Theory of Finance
- Financial Econometrics
- Mathematical Methods of Finance
- Time Series Econometrics
- Computational Finance with Python
- Stochastic Calculus & Black Scholes Theory
- Finance Dissertation
Source: york.ac.uk ↗
Before you apply
- Background
- 2:2 or equivalent with sufficient background in mathematical sciences, economics and finance
- Maths
- mathematical sciences background
- English
- IELTS 6.0 overall, 5.5 per component
- Other
- Some applicants may need the pre-sessional (min 60%)
Source: york.ac.uk ↗
After graduation
- Typical first roles
- Analyst at a securities company, Financial advisor at a bank, Quantitative investment analyst, Financial product manager, Quantitative strategy researcher
Source: york.ac.uk ↗
Want to see what employers ask for? Browse open quant roles.
Option modules mentioned but not named on page.
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.
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