

BSc Mathematics with Finance
About this course
Mathematics with finance is a combination that reflects the central role of mathematical thinking in financial markets, risk management, and economic analysis. Finance is one of the fields where mathematical rigour is most directly valuable, from the modelling of asset prices and the pricing of derivatives to the statistical analysis of economic data and the optimisation of investment portfolios. Studying the two together gives you a deeper understanding of both. At the University of Chester this three-year full-time programme combines core mathematical training with a substantial finance element, covering the theory and practice of financial markets, corporate finance, investment analysis, and quantitative methods in finance. In mathematics you will develop skills in calculus, linear algebra, statistics, and applied mathematics, building the rigour and problem-solving ability that make mathematicians so valued across many sectors. The finance strand connects these tools to real-world financial questions, showing how mathematical models are constructed, applied, and critiqued in professional contexts. The programme includes a year abroad, which places you in a different academic and cultural environment and develops your independence and international perspective, qualities that are genuinely valued in the global finance industry. Graduates go on to careers in banking and investment, actuarial science, insurance, risk management, financial consultancy, data analysis, and technology. The combination of mathematical training and financial knowledge is a strong basis for professional qualifications in accountancy, actuarial science, or financial risk, and many graduates pursue these routes alongside or following their degree. Others continue to postgraduate study in mathematics, finance, or quantitative methods.
Syllabus & Modules
Typical curriculumStudent Satisfaction
Missing Satisfaction Data
The university has not shared complete student satisfaction records for this specific degree metrics block. You may want to formally explore these topics with the university staff at an open day before committing.
Similarly Ranked Alternatives
What comes next? π
Choosing the right university starts with choosing the right school. Explore transparent, data-driven school profiles powered by official DfE statistics.
Explore Schools on WhatSchool.ai β


