Overview
Introduction
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 industry’s 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 LSE’s 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.
Preliminary readings
- S Shreve Stochastic Calculus for Finance I: the binomial asset pricing model (Springer, 2004)
- J C Hull Risk Management and Financial Institutions (Wiley, 2012)
