Mathematics with International Study

Mathematics is the science of pattern, structure, and logical necessity. It provides the language in which the natural sciences are written, the tools on which engineering, computing, and finance depend, and a discipline of pure thought whose beauty and rigour attract students who may never use their results directly but who are transformed by the habits of mind they develop. At its best, a mathematics degree teaches you not just a body of knowledge but a way of thinking: precise, creative, and intolerant of hand-waving.

At the University of Exeter you will study across four years on a full-time programme that includes a period of international study, reflecting the global nature of mathematics as a discipline and giving you an academic experience beyond UK shores. The curriculum moves from foundational real and complex analysis, algebra, and calculus through to advanced pure and applied mathematics, with the option to engage with topics in statistics, mathematical modelling, and numerical methods as your studies develop. Research engagement is actively supported at Exeter: students have had the opportunity to contribute to published academic work as undergraduates, a remarkable and formative experience that demonstrates how closely teaching and research are integrated.

You will also develop the ability to write and communicate mathematics clearly, a skill that is as demanding and important as the ability to solve problems.

Mathematics graduates are among the most sought-after of any discipline. Finance and investment banking, actuarial work, data science, software engineering, cryptography, and statistical research in the pharmaceutical industry are all common directions. The analytical training is equally valued by consulting firms, technology companies, and government agencies.

Teaching mathematics at secondary level, through a PGCE, is a well-supported direction, and there is strong demand for mathematics teachers. Postgraduate study, including MSc and PhD programmes in mathematics, statistics, finance, and computer science, is a natural pathway for those who wish to deepen their mathematical expertise or pursue research.