BSc Mathematics
About this course
Mathematics is one of the most ancient and enduring of intellectual disciplines, concerned with the structure of abstract systems and the patterns that underlie quantity, space and change. It encompasses pure mathematics, which explores the properties of mathematical objects for their own sake, and applied mathematics, which uses mathematical tools to model and analyse phenomena in science, engineering, economics and beyond. A mathematics degree develops an exceptional capacity for abstract reasoning, logical rigour and the kind of precise, structured thinking that is valued across a remarkably broad range of professional and academic contexts. At the University of Exeter this three-year full-time degree is offered with a foundation year for students who need additional preparation before entering the main programme, as well as a sandwich year and work placement opportunities for those wishing to develop professional experience during their studies. The curriculum is designed to meet the educational requirements for the Chartered Mathematician designation awarded by the Institute of Mathematics and its Applications, providing a rigorous and professionally recognised mathematical education. You will develop depth and breadth across both pure and applied areas, building the mathematical fluency and problem-solving ability that the profession requires. Mathematics graduates are among the most employable of any degree subject. Many go on to careers in finance, data science, actuarial science, operational research, software engineering, cryptography, education and research. Others find roles in government statistics, healthcare analytics, environmental modelling and the technology sector. The mathematical reasoning and analytical precision the degree develops are valued across virtually every field that involves quantitative thinking or complex problem-solving. For those wishing to continue their studies, the degree provides excellent preparation for postgraduate work in mathematics, statistics, data science, financial mathematics or related quantitative disciplines.
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