Entry requirements

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.

Months of entry

September

Course content

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.

Information for international students

IELTS 6.5

Fees and funding

LSE Graduate Support Scheme.

Qualification and course duration

MSc

part time
22 months
full time
10 months

Course contact details

Name
Student Recruitment Office
Email
stu.rec@lse.ac.uk
Phone
+44 (0)207 955 6613