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MSc in Quantitative Methods for Risk Management (formerly MSc Risk and Stochastics)


HaoThe 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. 

Dr Hao Xing
MSc Quantitative Methods for Risk Management Programme Director


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, a description of which can be found here.


Details of how to apply

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

To submit your application please visit our Graduate Admissions website here.


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 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:

Note: **Students taking this course can apply for a place to audit the first 8 hours lectures of MA417 Computational Methods in Finance in the MT.

Note: ***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

MSc Quantitative Methods for Risk Management


Exemptions

Students who graduate from the MSc Quantitative Methods for Risk Management degree programme are eligible to apply for exemption from the Institute of Actuaries subject 'ST0' on successful completion of the ST433 project.

Further details are available here. The application form can be accessed via this link.


Further information

For advice on your application please refer to the Frequently Asked Questions section of the Graduate Admissions website.


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