BSc Mathematics for Finance
About this course
Mathematics for finance is a programme that addresses the mathematical foundations of modern financial theory and practice. Contemporary finance is built on quantitative models: options pricing, portfolio optimisation, risk measurement, and the valuation of complex financial instruments all require a level of mathematical sophistication that standard finance or business programmes rarely develop. A dedicated mathematics for finance degree gives you the mathematical depth to understand these models, evaluate their assumptions, and apply them in professional contexts where quantitative rigour matters. At Swansea University, this three-year full-time programme reflects the close connection between mathematics and industry, developing both the pure mathematical foundations and the specific applications of mathematics to finance and business. You will study calculus, linear algebra, probability theory, and statistics alongside financial mathematics topics including stochastic processes, derivatives pricing, and risk theory, building a rigorous quantitative toolkit that prepares you for the analytical demands of financial professional life. Swansea has a strong mathematics department with good connections to business and finance, and the programme benefits from teaching staff who combine mathematical expertise with an understanding of how quantitative methods are used in practice. A typical entry tariff of 104 points reflects an accessible entry standard within a programme that builds serious mathematical and financial competence progressively. The programme is particularly suitable for students who are strong mathematically and want to develop that strength in a finance-oriented direction without sacrificing mathematical rigour. Graduates work in banking, investment, insurance, risk management, and financial technology, as well as in any sector where quantitative analytical skills are valued. Many pursue professional qualifications in actuarial science, quantitative finance, or data science, and postgraduate study in financial mathematics or statistics is a natural further option.
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