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Key information

Qualification type

MSc - Master of Science

Subject areas

Actuarial Science Finance / Accounting (General)

Course type


Course Summary

This course MSc Actuarial Finance will introduce to essential business topics and enable to apply their quantitative skills to solve complex business problems, such as risk management, insurance and derivatives. Students gain comprehensive knowledge in business areas such as accountancy, corporate finance and economics, as well as key analytical techniques, processes and models that have significant applications in actuarial finance. Students will take compulsory modules in corporate finance and economics allowing to put their work into context and understand the importance of the role played by actuaries. At the same time, student will build their mathematical skills with classes in applied statistics and probability, as well as discrete time finance. Building on this, students will study continuous time finance and gain an understanding of how different stochastic processes and survival models are applied to actuarial science. This will compliment their studies in topics such as accounting, professionalism and ethics, international investment and portfolio risk management. Throughout the year they will build their professional skills with a core module focussing on critical practical skills that will prepare them for the workplace. At the end of the course, they will bring together their business, mathematical and professional knowledge to complete an independent project on a topic of their choice, which will demonstrate their ability to apply the skills they have gained.

Different course options

Study mode

Full time


12 months

Start date



The aim of this module is to develop a general methodology for the pricing of financial assets in risky financial markets based on discrete-time models. On completion of this module, students will be able to: describe the main instruments available in financial markets; apply the concepts of no-arbitrage and mean-variance to calculate fair prices of assets in one-period models; value risky returns with the Capital Asset Pricing Model and apply the Arbitrage Pricing Theory; demonstrate an understanding of the no-arbitrage principle in multi-period models; describe the Cox-Ross-Rubinstein binominal model and its applications; understand simple interest rate models; explain the fundamental differences between finite and infinite investment horizons; demonstrate an understanding of log-optimum investment and the Kelly rule.

Tuition fees

UK fees
Course fees for UK / EU students

Please contact university and ask about this fee

Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

Please contact university and ask about this fee

Average for all Postgrad courses (per year)


Entry requirements

Students need a bachelor degree with a 2:1 (hons) in a related subject such as mathematics, statistics, economics or finance. They must have a strong grounding in quantitative subjects with high scores in quantitative modules.