BSc Actuarial Science with a Foundation Year
About this course
Actuarial science is the application of mathematical and statistical methods to the assessment of risk and uncertainty in insurance, pensions, investment, and related financial fields. Actuaries use sophisticated quantitative techniques to model uncertain future events, to price insurance products, to value long-term pension liabilities, and to advise organisations on the financial implications of risk. The profession is among the most mathematically demanding in the business world, and it is also one of the most consistently well-rewarded and highly regarded. At Swansea University, this four-year full-time programme includes a foundation year, providing a supported entry route for students who need additional mathematical or scientific preparation before beginning the degree proper. The foundation year builds the quantitative skills needed to engage with actuarial science at degree level. You will then study the mathematical and statistical core of the subject alongside finance, economics, and the professional knowledge that the actuarial profession demands. The programme is designed to provide exemptions from some of the professional examinations set by the Institute and Faculty of Actuaries, reducing the qualification burden on graduates and giving you a head start in the profession. Swansea is situated in a part of Wales with a significant financial services presence, and the programme reflects this professional context. Graduates pursue careers as actuaries in life insurance, general insurance, pensions, health and care, and investment, working for insurance companies, consulting firms, banks, and pension funds. The actuarial profession requires a series of examinations beyond the undergraduate degree, and the programme is structured to support progress through these. Qualified actuaries are in consistent demand and are well remunerated, and the quantitative skills developed in actuarial science are also valued in data science, risk management, and financial analysis more broadly.
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