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BSc Mathematics, Statistics and Finance
About this course
Mathematics, statistics, and finance is a combination designed for students who want to develop rigorous quantitative foundations alongside the specific knowledge of financial systems and markets that is in demand across the financial sector. Mathematics provides the formal framework of reasoning, abstraction, and proof. Statistics gives you the tools to model uncertainty, draw inferences from data, and quantify risk. Finance applies both to the analysis of asset pricing, investment decisions, portfolio management, and the mathematical structures that underlie modern financial markets. The combination is particularly well suited to those interested in actuarial science, quantitative finance, and the application of mathematical modelling to commercial and financial problems. At the University of Strathclyde this four-year programme provides a strong basis for entering the actuarial profession, reflecting the depth of quantitative training it delivers. You will study mathematics and statistics in depth, covering probability theory, statistical inference, linear algebra, differential equations, and optimisation, alongside financial economics, portfolio theory, and the mathematical models used in banking and insurance. The programme includes a year abroad, giving you the opportunity to study at an international partner institution and gain comparative perspective on how quantitative finance and actuarial science are practised in different financial markets. Graduates from mathematics, statistics, and finance programmes enter careers in actuarial science, quantitative analysis, investment banking, asset management, insurance, risk management, and financial consultancy. The actuarial exams and the route towards fellowship with the Institute and Faculty of Actuaries are well supported by this degree. Other graduates move into data science, financial modelling, and analytical roles in the public sector, technology firms, and financial services. Postgraduate study in financial mathematics, statistics, or economics is also common for those who want to specialise further.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 15 respondents (78% response rate)
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