Course summary

Join a University ranked in the UK top five for Maths research (THE analysis of REF 2021) with an excellent reputation for teaching and learning (UK top ten for Maths, QS World University Rankings by subject 2023). This three-year course provides a rigorous foundation in mathematics, allowing you to learn mathematical and statistical skills that are in high demand from top employers, and that give you a strong basis for further study. Our lecturers are passionate about their subject, with modules informed by cutting-edge research. You can shape your degree to suit your interests; you could discover units like Complex Networks and Probability alongside your core modules, or choose optional vocational units like Financial Risk Management or Maths in Schools to prepare you for a particular career. In your final year, you will have the option to pursue an independent project on a topic you are passionate about, supervised by one of our world-leading experts. The curriculum currently includes opportunities to learn the statistical computing environment R, the Bayesian approach to estimation and prediction, and how to use mathematical ideas to understand uncertainty, model risk and rigorously analyse large data sets. This degree is accredited by the Royal Statistical Society (RSS) and you'll be automatically entitled to Graduate Statistician status on application to the RSS, provided you achieve at least a second class honours degree. Think Big bursaries of £3,000 are available to support first-year international undergraduate students in this subject area.