Universities / University of Strathclyde
MSc Financial Mathematics & Data Science (MSc FMDS)
Builds financial theory, statistics and data science skills including machine learning, numerical methods and stochastic processes, using R and Python. Large optional menu covers deep learning, AI for finance, derivatives and portfolio theory.
What you’ll study
Core
- Foundations of Probability & Statistics
- Big Data Fundamentals
- Principles of Finance
- Data Analytics for Accounting & Finance
- Financial Stochastic Processes
- Financial Econometrics
- Research project
Electives
- Quantitative Risk Analysis
- Data Dashboards with RShiny
- Deep Learning
- Portfolio Theory & Management
- Derivatives
- Textual Analytics for Accounting & Finance
- AI for Finance
- Evolutionary Computation for Finance 1
- Evolutionary Computation for Finance 2
- Statistical Machine Learning
Source: strath.ac.uk ↗
Before you apply
- Background
- 2:2 honours (or equivalent) in Mathematics, Statistics or closely related discipline; relevant experience or professional qualifications also considered
- Maths
- Substantial mathematical or statistical content in prior degree
- English
- IELTS 6.0 overall, no component below 5.5
Source: strath.ac.uk ↗
After graduation
- Typical first roles
- Hedge Fund Manager, Financial Analyst, Data Scientist, Financial Systems Developer
Source: strath.ac.uk ↗
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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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