Home > Study > Graduate > Taught programmes 2017 > MSc Quantitative Methods for Risk Management

MSc Quantitative Methods for Risk Management

About the MSc programme

This programme was formerly known as MSc Risk and Stochastics 

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. 

Your application

Your personal statement should state why you want to do the programme applied for and why you have chosen LSE. Brief details of your academic background and aspirations are also useful. If your background is outside of mathematics or statistics then you should provide further explanation of how your experience is relevant to the programme applied for; as well as further details of your current studies.

Your personal statement should be concise and should not exceed 500 words.

If you are applying for more than one choice in the Department of Statistics, it is recommended that you submit two separate personal statements. If the two programmes for which you are applying are very similar and you would prefer to combine the information in one statement then you may do so; however, please ensure that your statement clearly addresses your motivations for applying for each separate programme.

Programme details

You can find the most up-to-date list of optional courses for MSc Quantitative Methods for Risk Management in the Programme Regulations section of the current School Calendar.

You must note however that while care has been taken to ensure that this information is up to date and correct, some circumstances may cause the School to subsequently change, suspend or withdraw a course or programme of study, or change the fees that apply to it. The School will neither be liable for information that after publication becomes inaccurate or irrelevant, nor for changing, suspending or withdrawing a course or programme of study due to circumstances outside of its control. You must also note that places are limited on some courses and/or subject to specific entry requirements. The School cannot therefore guarantee places on its courses. You should visit the School's Calendar, or contact the relevant academic department, for information on the availability and/or content of courses and programmes of study. Certain substantive changes will be listed on the Updated graduate course and programme information page.

Graduate destinations

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 spread over 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.

Share:Facebook|Twitter|LinkedIn|
lse.ac.uk/statistics

Application code: G4U2 (check availability)

Start date: Mandatory pre-sessional course begins early September 2017

Duration: 10 months full-time, 22 months part-time (see Bologna process)

Minimum entry requirement: 2:1 degree or equivalent in actuarial science, mathematics, statistics, or mathematical economics/finance (see entry requirements)

English requirement: Standard (see English requirements)

GRE/GMAT requirement: None

Fee level: UK/EU: £25,944 (provisional EU); overseas £26,448

Financial support: Graduate Support Scheme (see Financial support)

Application deadline: None - rolling admissions

Intake/applications in 2016:  28/152


GraduationsDestinations