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 Ap

Where its graduates go

The 5 largest scored destinations, covering 110% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 70% of graduatescards →
• 60 / 100Business, Research and Administrative Professionals · 15% of graduatescards →
• 55 / 100Administrative occupations · 5% of graduatescards →
• 52 / 100Finance Professionals · 15% of graduatescards →
• 48 / 100Business and public service associate professionals · 5% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).