Taught course

Quantitative Methods for Risk Management

London School of Economics and Political Science (LSE) · Department of Statistics

Entry requirements

A 2:1 degree or equivalent in actuarial science, mathematics, statistics, or mathematical economics/finance.

Months of entry


Course content

The MSc Quantitative Methods for Risk Management – formerly known as MSc Risk and Stochastics - offers in-depth instruction in probabilistic, statistical, and computational methods to quantify risk arising from, but not limited to, economic, financial, and insurance applications.

This programme is LSE’s timely response to industry’s strong demand in experts with quantitative expertise in risk management, finance, insurance, and their interface.

This programme will instruct you in theoretical as well as practical aspects of various quantitative methods to measure and mitigate financial and insurance risk. It draws on diverse disciplines, from mathematical finance, actuarial science to statistics and computation. You will work with real financial data to receive hands-on training in real-world problems and case studies. This programme draws on world class research in modern financial and actuarial mathematics and statistics within the Department.

The programme aims to prepare you for a range of expert careers in financial and insurance industries, in regulatory bodies, and in applied and theoretical research.

Qualification and course duration


part time
22 months
full time
10 months

Course contact details

Student Recruitment Office
+44 (0)20 7955 6613