Create my account

eye
eye

Log in to your account

Log in now or create an account to benefit from a fully personalized Unimy Masters experience

Cannot remember your password? Forgot password?

Forgot password?

If you have forgotten your password, we will send you an email to reset your password.

London School of Economics and Political Science

icon
MSc Quantitative Methods for Risk Management
Location icon

London United Kingdom

Duration icon

10 months Duration

Tuition icon

£ 37,992 Tuition

Format icon

Full time Format

Other available programs from LSE: Department of Statistics

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.

  • Language Test: TOEFL 100 (minimum), IELTS 7 (minimum)

How do you fit the school

Access information to make a complex decision with confidence with matched Master's programs that offer you the best fit. The map on the right shows results on the six dimensions of our Cultural Fit Map.

In the Cultural Fit Map, each dimension is anchored by two diametrical poles. Neither end is good or bad. Relying on our unique scientific research, we can offer insight beyond metrics and facts — into the full Master's experience itself. Take our short survey and explore what life in a particular university is like.

Are you sure?

By clicking yes you agree that your contact details (e-mail, names) may be shared with the particular graduate school admission office.