BSc Mathematics and Data Science
About this course
Mathematics and data science is a combination that reflects the most in-demand skills in the modern economy. Mathematics provides the rigorous analytical foundation, including statistics, linear algebra, calculus, and probability, on which data science is built. Data science adds the computational tools and practical techniques, including machine learning, statistical modelling, data visualisation, and programming, that are needed to extract insight from the vast quantities of data that modern organisations generate and depend on. Together they produce graduates who can both understand the mathematical principles underlying data methods and apply them effectively in real contexts. At the University of Exeter, this three-year full-time programme is positioned to meet the educational requirements of the Chartered Mathematician designation awarded by the Institute of Mathematics and its Applications, when followed by appropriate professional experience. This is a rigorous signal of the mathematical quality of the programme. A sandwich placement year and work placement opportunities are incorporated into the degree, giving you direct professional experience in data-intensive settings before you graduate. The typical entry tariff of 168 points reflects the mathematical demands of the programme. You will develop the ability to approach complex analytical problems with mathematical rigour, to implement computational solutions, to communicate findings clearly to technical and non-technical audiences, and to work with real, messy data in the way that professional roles actually require. Graduates are in high demand across finance, technology, healthcare analytics, government, consulting, insurance, and any sector where data-driven decision-making is central. Roles include data scientist, statistician, machine learning engineer, quantitative analyst, and business analyst. Postgraduate study in data science, statistics, machine learning, or financial mathematics is a natural continuation for those seeking specialist or research careers.
Syllabus & Modules
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