Mathematics and Statistics

Mathematics and statistics is a combination that develops the rigorous logical thinking of pure and applied mathematics alongside the specific tools for collecting, analysing, and drawing conclusions from data. Statistics has become one of the most practically significant branches of mathematics as the digital world has made data abundant and the ability to extract meaning from it central to decision-making across every sector. Studying mathematics and statistics together gives you a grounding in both theoretical depth and the practical tools of a discipline that underpins data science, machine learning, financial modelling, and scientific research.

At Durham University, this full-time, three-year BSc combines a strong mathematical foundation with the latest developments in statistics and machine learning, providing the grounding needed to enter a data-driven workplace with genuine intellectual depth. You will develop skills in problem-solving, abstraction, and proof alongside the practical statistical and computational methods used to analyse real data. The programme places emphasis on quantitative thinking and the ability to identify and work with patterns in complex data, building capabilities that employers in finance, technology, healthcare, and government are actively seeking.

The programme includes a sandwich year, a year abroad, and work placement opportunities, providing professional and international experience that enriches both the mathematical and statistical dimensions of the degree. The typical entry tariff is 168 UCAS points.

Graduates from mathematics and statistics programmes are among the most sought-after in the graduate job market. Financial services, data science, actuarial work, technology companies, government statistical services, research institutions, healthcare analytics, and management consultancy are all common destinations. The combination of mathematical rigour and statistical fluency is particularly valuable as organisations seek graduates who can not only handle data but interpret it soundly.

Postgraduate study in statistics, mathematics, data science, or actuarial science provides a natural path for those who want to go deeper.