Swansea University

What you'll study

The programme builds a strong foundation in mathematics and probability in the first year, progressing to specialised actuarial and financial modules in later years. Core topics include probability and statistical inference, financial mathematics, life contingencies, survival models, stochastic processes, actuarial modelling and risk theory. Students also study complementary subjects such as economics for actuaries, financial reporting and investment principles, and computing for mathematical modelling. In your final year you will typically complete an independent project or dissertation applying actuarial methods to a real-world problem, and you can choose optional modules in areas such as advanced time series, machine learning for finance, or pension modelling.

The course emphasises practical skills: numerical computation, use of statistical and actuarial software (for example R, Python and industry-standard packages), data analysis, report writing and oral presentation. Many students have the option to take a placement year in industry or an integrated professional experience, which provides valuable workplace skills and employer contacts.

Entry requirements

Successful applicants need a strong quantitative background. Typical entry expects a qualification in mathematics at A level (or equivalent) — Further Mathematics is highly desirable but not always required. Acceptable qualifications include national and international school-leaving certificates with a strong mathematics component, relevant BTEC or access diplomas with significant mathematics content, and recognised equivalents such as the International Baccalaureate with higher-level mathematics.

Applicants should demonstrate numeracy, problem-solving ability and communication skills. Mature applicants and those with non-standard backgrounds are considered; relevant work experience, strong performance in quantitative modules on other programmes, or successful completion of an admissions test or interview may strengthen an application. GCSE-level English and mathematics (or equivalent) are also normally expected.

Career prospects

Graduates typically follow professional actuarial routes or enter analytical roles across finance and risk. Common career destinations include actuarial positions in life, general and health insurance; pension consultancy; reinsurance; risk management in banks and corporates; investment analysis; and data science roles in financial technology and consulting firms. Many graduates enter graduate training schemes with insurance companies, consultancies or financial institutions, while others continue to postgraduate study in actuarial science, financial mathematics, statistics or related areas.

The degree prepares students for the sequence of professional actuarial examinations by developing the mathematical and practical skills required for professional accreditation. Progression to chartered actuarial status normally involves a combination of further professional exams and workplace experience.

Why study at Swansea University

Swansea University’s School of Mathematics has an established portfolio of applied mathematics and statistics degrees with a research-informed teaching approach. The university offers small-group teaching in core quantitative modules, access to computing facilities and statistical software, and staff with active research and industry links in actuarial science and financial mathematics.

The Swansea campus environment provides opportunities for industry engagement in Wales and across the UK, and the programme supports employability through placement options, careers guidance and professional skills workshops tailored to actuarial recruitment. Close contact with academic staff and a focus on practical modelling and communication skills make the course well suited to students aiming for professional actuarial careers or analytical roles in finance and data-driven sectors.