Universities / Imperial College London
MSc Statistics (Statistical Finance) (MSc Stats (Stat Fin))
A statistics-heavy master's applying inference, machine learning and data science to finance and commerce. Teaches Python, R, PySpark, Stan and TensorFlow with a full-time project.
What you’ll study
Core
- Applied Statistics
- Computational Statistics and Machine Learning
- Fundamentals of Statistical Inference
- Probability for Statistics
- Data Science
Electives
- Advanced Statistical Finance
- Big Data: Statistical Scalability with PySpark
- Introduction to Statistical Finance
- Stochastic Processes
- Survival Models
- Optimisation for Statistics
- Deep Learning
- Nonparametric Statistics
- Spatial Statistics
- Statistical Learning for High-Dimensional Data
- Time Series Analysis
- Probabilistic Generative Models
Source: imperial.ac.uk ↗
Before you apply
- Background
- 2:1 in Statistics, Mathematics, Engineering, Physics or Computer Science (page notes nearly all successful applicants hold a First)
- Maths
- theoretical mathematics for non-maths degrees
- Tests
- No admissions test listed
- English
- Higher university requirement
- Other
- No interviews; application fee GBP 90
Source: imperial.ac.uk ↗
After graduation
- Typical first roles
- Quantitative Analyst, Quantitative Researcher, Commodities Trader, Data Scientist, Data Analyst, Credit Risk Analyst
- Employers
- JP Morgan, Accenture, BCG, Amazon, PwC, Squarepoint Capital, Marshall Wace, Roche
Source: imperial.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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