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MSc Risk and Stochastics

About the MSc programme

This programme provides high-level training in probability theory and statistics for random processes with applications in the areas of insurance and finance and their interface. It includes a comprehensive and unified approach to all quantitative aspects of modern actuarial science. Students receive rigorous training in mathematics and scientific computation and are introduced to a range of schemes for risk transfer, sufficiently broad to equip them for highly specialised work in insurance, pensions, investment, and banking and for independent research in these areas.

The Programme offers excellent prospects for employment and further study. Students can gain employment in the finance or insurance industries. They can also go on to do a higher degree. Furthermore, the Department has good relations with the financial services industry, particularly insurance and professional bodies.

The programme is mathematically advanced and suitable candidates will normally hold a good BSc degree in actuarial science, statistics, mathematical economics or mathematics. This should include training in analysis and linear algebra, with rigorous proofs, and probability theory at the level of our third year undergraduate course Stochastic Processes. Each MSc student has an academic adviser who is available for guidance and advice on academic or personal concerns. The compulsory courses lay the foundations in advanced stochastic models and methods and give a broad introduction to theories of risk exchange in insurance and finance. Students can choose options in statistics, mathematics and finance.

Your application should be submitted as early as possible and must include: 

  • A personal statement, no longer than 150 words, outlining your reasons for wanting to study Risk and Stochastics. 
  • Course descriptions and reading lists for advanced courses in mathematics and statistics in your degree (either held or pending). 

Please note that the Department of Statistics does not require references to be submitted with your application form. However, you should include contact details of one person who is familiar with your academic achievements. Normally, this will be a tutor from your current or previous academic institution. The Department may contact this referee if it is deemed useful when considering your application.

Compulsory courses

(* half unit)

Options

Choose two from:

Full course descriptions at: lse.ac.uk/statistics|

lse.ac.uk/statistics|

Application code: G4U2 (check availability|)

Start date: Mandatory pre-sessional course begins September 2011

Duration: 10 months full-time, 22 months part-time (10 month master's are not compliant with the Bologna process which may affect the extent to which they are 'recognised'. For more information on Bologna please see Bologna process)

Intake/applications in 2010: 32/250

Minimum entry requirement: First class honours in actuarial science, statistics, mathematical economics or mathematics (see entry requirements|)

English requirement: Standard (see entry requirements|)

GRE/GMAT requirement: None

Fee level: £21,312

Financial support: Graduate Support Scheme (see Fees and financial support|)

Application deadline: None

Notes: No references required, but you must supply contact details of an academic familiar with your work