MSc Financial Mathematics with Data Science (incl. Professional Placement variant) (MSc FMDS)
Combines financial mathematics with data science and machine learning, covering financial modelling, risk, Bayesian analysis and programming, with a summer dissertation. All taught units are compulsory.
What you’ll study
Core
- Financial models in discrete and continuous time
- Foundations and applications of machine learning
- Programming for data science
- Risk, randomness and optimisation
- Statistics for data science
- Advanced techniques for finance
- Bayesian data analysis
- Research project preparation
- Dissertation
Source: bath.ac.uk ↗
Before you apply
- Background
- High 2:2 or above in a subject with substantial mathematical element (maths, statistics, computer science, physics, engineering, economics, etc.)
- Maths
- Substantial mathematical content in prior degree
- Programming
- Programming experience advantageous (not required)
- English
- IELTS 6.5 (min 6.0 each component), PTE Academic 62 (min 59), or TOEFL iBT 90 (min 21 each)
Source: bath.ac.uk ↗
After graduation
- Typical first roles
- Foreign exchange trading, Credit risk, Fund management, Insurance and actuarial consulting
Source: bath.ac.uk ↗
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Placement variant is a separate page: https://www.bath.ac.uk/courses/postgraduate-2027/taught-postgraduate-courses/msc-financial-mathematics-with-data-science-with-professional-placement/. Fee figure came via search summary of the fees page, not opened directly.
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.