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MSc Quantitative Methods for Risk Management

(formerly MSc Risk and Stochastics)

This programme will instruct students in theoretical as well as practical aspects of various quantitative methods to measure and mitigate financial and insurance risk

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 students 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 students for a range of expert careers in financial and insurance industries, in regulatory bodies, and in applied and theoretical research. 

Prof. Hao Xing
MSc Quantitative Methods for Risk Management Programme Director (MT 2018 only) 

Dr. Beatrice Acciaio

MSc Quantitative Methods for Risk Management Programme Director 


Programme brochure

Have a look at the handy guide we have created which highlights key information on the MSc Quantitative Methods for Risk Management degree. 

Entry requirements

The normal entry requirement is a 2:1 degree or equivalent in actuarial science, mathematics, statistics, or mathematical economics/finance. It should include training in analysis and linear algebra, with rigorous proofs, and probability theory at the level of our third year undergraduate course ST302.

Details of how to apply

Find out more details on how to apply, requesting a prospectus and related programmes.

For further practical details on how to submit an application, including the word limit on your personal statement, please see our MSc FAQs (Frequently Asked Questions).

Course structure

Our taught postgraduate courses are based around lectures, with problem classes and computer workshops. Most courses are assessed by a two-hour exam in the summer term although some contain an element of course work.

Students must take courses to the value of four full units. The courses in the programme are divided into two categories: compulsory courses and options.

Students are required to take a two-week compulsory pre-sessional course MA400 September Introductory Course (Financial Mathematics) in September.

Compulsory courses and options 

Students must take the following five compulsory courses:

Plus three chosen from these two sets of option courses:

At least one of the following half-unit options: 

 Up to two of the following half-unit options:


*Students taking ST433 can also take a non-assessed non-compulsory course MA432 ‘Programming in C++’

**Students taking FM442 can apply for a place on FM457 MATLAB for MSc students, a non-assessed computer course.

Students can also take MA422 Research Topics in Financial Mathematics, a non-assessed course taken in addition to the required five compulsory half unit courses and three half units of optional courses detailed above.

Programme regulations

The Rajendra Bhansali Prize

The Rajendra Bhansali Prize is made possible by a generous donation from Rajendra Bhansali, graduate (BSc(Econ), 1967 and PhD, 1971) and former member of staff (1967-68) of the LSE and now Emeritus Professor of Mathematical Sciences at the University of Liverpool. 

One prize of £200 is awarded to the MSc Quantitative Methods for Risk Management student with the highest overall mark in their exams.

This agreement is applicable from the 2014/15 academic year to the 2018/19 academic year.


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. 

Further Information

For advice on your application please refer to Frequently Asked Questions.