BSc Mathematics with Finance
About this course
Mathematics with Finance combines two disciplines that complement each other with particular elegance. Mathematics provides the rigorous quantitative foundations, from analysis and algebra to statistics and probability, that underpin financial theory at the most fundamental level. Finance applies those mathematical tools to questions about asset pricing, risk management, investment, and the behaviour of financial markets, developing the quantitative models that banks, investment firms, and corporations use to make decisions under uncertainty. Together, they prepare you for careers at the intersection of mathematical reasoning and real-world financial practice. At the University of Liverpool, this three-year full-time programme gives you a strong foundation in pure and applied mathematics alongside a structured engagement with the theory and practice of finance. You will cover core mathematical areas including calculus, linear algebra, real analysis, probability, and statistics, alongside financial content in areas such as corporate finance, financial markets, portfolio theory, derivatives pricing, and financial econometrics. The degree includes a year abroad, giving you the opportunity to study mathematics and finance in a different country and academic tradition, developing international perspective and the adaptability that comes from studying away from home. Liverpool's mathematics department has a strong research profile, and students benefit from teaching staff who are active in mathematical and financial research. Graduates from Mathematics with Finance are highly sought after in financial services, where quantitative skills are at a premium. Investment banking, asset management, risk analysis, actuarial work, quantitative trading, financial engineering, and data analytics in finance are all common career destinations. The mathematical rigour the degree develops is also valued in consultancy, the civil service, technology companies, and any organisation that relies on complex quantitative analysis. Some graduates continue to postgraduate study in financial mathematics, statistics, actuarial science, or data science.
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