This four-year course provides a rigorous foundation in mathematics, allowing you to learn computational and statistical skills that are in high demand from top employers or giving 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.

The curriculum currently includes opportunities to learn the statistical computing environment R, the Bayesian approach to estimation and prediction, and how to design powerful tests for statistical hypotheses.

The first year provides a broad background in pure, applied and statistical mathematics via a range of compulsory units. You'll cover material in lectures and small-group tutorials, with the freedom to explore a range of topics in collaboration with your personal tutor and fellow students.

From year two you will focus more on statistics and probability, although there is still scope to take some units from other areas.

As you move through the course you will gain academic independence, progressing from small-group tutorial teaching in year one to an independent statistics project in your final year.

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.