The MSc Quantitative Methods for Risk Management offers world-class training in mathematical, statistical, and machine learning methods for the modelling and analysis of risk in financial markets and beyond.

This programme has been created in response to industrys strong demand for experts with a deep understanding of risk and a modern quantitative toolset blending mathematical modelling, statistics, and machine learning.

The core part of the programme will offer in-depth instruction in the theory and application of stochastic processes, fundamental statistical methods for risk management, and modern computational techniques for challenging problems in quantitative finance and insurance.

Beyond the core component, you can make the most of the LSEs world-class Departments of Statistics, Mathematics, and Finance, as you'll have the opportunity to take cutting-edge courses in statistics, data science, mathematical modelling, and finance.

You'll learn to handle real financial data, and, through case studies, you'll get hands-on training in solving real-world problems in finance and insurance.

The programme will prepare you for a range of expert careers in the financial and insurance industries as well as in applied or theoretical research and in regulatory bodies.

Graduate destinations:
The programme offers excellent prospects for employment and further study. You can gain employment in the finance or insurance industries, or go on to do a higher degree. Our alumni have taken up positions in banks, asset management firms, insurance and reinsurance companies, data analytics companies, consulting firms, and world-wide research institutions.