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.
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.
Students who graduate from this programme are eligible to apply for exemption from the Institute of Actuaries subject 'ST0' on successful completion of the Computational Methods in Finance and Insurance project.