Leeds University Business School

MSc Actuarial Finance

URLbusiness.leeds.ac.uk/masters/msc-actuarial-finance/
Description

If you have a quantitative business degree or a strong statistical and mathematical background, our MSc Actuarial Finance helps you build on your quantitative background and apply these skills at an advanced level in the world of business. The joint programme, in collaboration with the School of Mathematics, allows you to apply your analytical ability to business. Modules within the Business School introduce you to key business topics such as accountancy, corporate finance and economics. Modules taken in the School of Mathematics help you apply your quantitative skills to business problems such as risk management, insurance and derivatives.

MSc Actuarial Finance has strong links with the actuarial profession, and the insurance and pensions industry. So, while you are taught by world-class academics, you also interact with practising actuaries and industry experts.

Careers

Graduates enter high-flying careers in insurance, pensions, accountancy, risk management and consultancy. Job prospects are wide ranging and include consultant actuaries, scheme actuaries and insurance actuaries, accountants, investment banking and risk management. As a result of the high level of quantitative skills developed, you gain an excellent grounding for PhD study in accounting, finance and economics.

Teaching ModeFull Time
LanguageEnglish
Academic RequirementsNo academic background in business or economics required
Tuition Fees

UK/EU £9,000 International £18,000 (2013 fees)

There are numerous scholarships available for UK, EU and International students. Further details can be found on our website.

BeginSeptember
Length12 months    
Application Procedure

You should have a good first degree (2:1 or higher) in a relevant first degree such as mathematics, statistics, economics or finance. A background in finance or economics is desirable but not essential.  You must have a strong grounding in quantitative subjects with high scores in quantitative modules.