Universities / Birkbeck, University of London
MSc Quantitative Finance with Data Science (QFDS)
An evening-taught MSc blending risk management and financial modelling with Python/R data science and statistical learning, aimed at working professionals and career changers. Includes a 6,000-word dissertation.
What you’ll study
Core
- Credit Risk Management
- Financial Data Science with Python
- Financial Econometrics (or Statistical Analysis)
- Financial Modelling and Data Science
- Market Risk Management
- Quantitative Techniques
- Statistical Analysis (or Financial Econometrics)
- Statistical Learning
- MSc Dissertation in Economics and Finance
Source: bbk.ac.uk ↗
Before you apply
- Background
- 2:2 or above in a quantitative subject (maths, physics, statistics, economics, engineering); others considered with substantial quantitative content
- Maths
- calculus; linear algebra; statistics
- Programming
- No prior programming required; Python and R taught
- English
- IELTS Academic 6.5 overall, no sub-test below 6.0
- Other
- Graduate Diploma at Merit or above in a quantitative subject also accepted
Source: bbk.ac.uk ↗
After graduation
- Typical first roles
- risk management analyst, financial model validator, data scientist, portfolio manager, investment strategist
- Employers
- Citibank, JP Morgan, Barclays, UBS, Ofgem, Moody's, Quilter
Source: bbk.ac.uk ↗
Want to see what employers ask for? Browse open quant roles.
Listed as open for October 2027 entry. The page does not mention the old MSc Mathematical Finance; the replacement was stated by the batch brief, not the 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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