Universities / Imperial College London
MSc Risk Management and Financial Engineering (RMFE)
A quantitative business-school MSc accredited by PRMIA, using Python as its main language with AI woven through the content. It blends financial engineering, stochastic calculus and risk management with a wide choice of finance electives.
What you’ll study
Core
- Empirical Finance: Methods and Applications
- Financial Statistics
- Financial Engineering
- Investments and Portfolio Management
- Risk Management and Valuation
- Stochastic Calculus
Electives
- Advanced Options Theory
- Climate Finance
- Computational Finance with C++
- Digital Assets
- International Finance
- Mergers & Acquisitions
- Topics in Corporate Finance
- Global Markets and Policy for Practitioner
- Machine Learning and Finance
- Fixed Income Securities
- Big Data in Finance
- Market Microstructure
- Sustainable Finance
- Systematic Trading Strategies with Machine Learning Algorithms
Source: imperial.ac.uk ↗
Before you apply
- Background
- 2:1 in a highly quantitative subject (Mathematics, Engineering, Economics, Science)
- Maths
- probability; calculus; matrix algebra; real analysis
- Tests
- GMAT not required but strengthens application (minimum 55th percentile or 600 on 10th edition)
- English
- Higher university requirement in an approved test
Source: imperial.ac.uk ↗
After graduation
- Typical first roles
- Investment banking, Asset and investment management, Sales and trading, Hedge funds
Source: imperial.ac.uk ↗
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Business-school programme; not in QuantNet UK ranking per batch list. No outcome statistics published on page. Forums not searched (budget).
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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