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 ...
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.<br/><br/>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. <br/><br/>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.<br/><br/>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.
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Part-time
Duration
22 Months
Start Date
09/2025
Campus
London School of Economics and Political Science
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
L72
Points of Entry
Unknown
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