Actuarial Science and Mathematics

Actuarial science and mathematics is a combination that develops two of the most analytically demanding and professionally rewarding skill sets available in higher education. Actuarial science applies mathematical, statistical, and financial methods to the quantification and management of risk, most commonly in insurance, pensions, and financial services, but increasingly in a much wider range of contexts where organisations need to understand and price uncertain future outcomes. Mathematics provides the theoretical foundations that actuarial work rests upon, from probability theory and statistics through to calculus and linear algebra, giving you the rigorous training that both disciplines demand.

At the University of Manchester, this three-year full-time degree includes a foundation year for students who would benefit from additional preparation before the main degree content. The foundation year is designed to build mathematical and analytical confidence, making the programme accessible to students whose prior qualifications do not give direct entry but who have the potential to succeed in a mathematically demanding degree. You will develop knowledge of probability, statistics, financial mathematics, risk modelling, and the actuarial applications of these tools to life insurance, general insurance, and pensions, alongside pure mathematical content in analysis, algebra, and applied mathematics.

Manchester's strong actuarial and mathematics departments provide a rigorous and professionally connected environment for this study.

Graduates of actuarial science and mathematics are among the most sought-after in the UK graduate market. The actuarial profession is served by the Institute and Faculty of Actuaries, and degree programmes aligned to its examinations provide exemptions from some professional papers, supporting a smoother path to Fellowship qualification. Careers include actuary, risk analyst, investment analyst, data scientist, and quantitative analyst in insurance, pensions, banking, and financial consultancy.

Many graduates also pursue postgraduate study in actuarial science, statistics, mathematical finance, or data science.