Department of Mathematical Sciences | MMath Mathematics and Statistics (with Placement Year)

MMath Mathematics & Statistics (with Placement Year) at Durham University

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Take your knowledge of mathematical techniques and statistical principles to a higher level. The MMath includes an integrated year of Master's-level study and the opportunity to conduct a project in collaboration with an external organisation.

This challenging degree takes your study of Mathematics & Statistics to Master’s level. It is the ideal choice if you are considering postgraduate study or a career that requires high-level numeracy skills or research.

The MMath combines a strong mathematical grounding with the latest developments in Statistics and Machine Learning to provide the foundation you’ll need to step into a data-driven workplace. The first two years follow a similar structure to the BSc. The wider range of modules introduced in Years 3 and 4 explore more sophisticated mathematical and statistical techniques in greater depth.

The course is based in a brand-new facility, purpose-built to meet the learning, teaching and study needs of students from the Department. You will be taught by a team of mathematicians and statisticians with a wealth of experience in industry and research. The Department is home to a number of research groups with specialisms in both Pure and Applied Mathematics. With many members of the teaching team actively involved in research there are plenty of opportunities to link learning to the latest research in distinctive and creative ways.

The first year begins with a broad-based introduction to Pure and Applied Mathematics, Statistics and Probability and provides a sound foundation for in-depth study in subsequent years. As you move into the second and third year the focus on statistics increases.

During the final year you complete a double-module project. This can be the individual project in which you tackle a theoretical area or an applied problem in depth. Alternatively, the internship project is a statistics and machine learning piece of work based on a third-party problem. Both projects can be carried out in collaboration with external organisations to add valuable real-world context to your degree.

As well as developing you academically, a Durham University degree will equip you with a range of practical skills including critical thinking, an analytical approach and ability to reason with information, alongside experience in building relationships and leading teams.

A significant number of our students progress to higher level study following their degree. Some remain within their academic field of interest and pursue higher level research, notably at Durham University but also other prestigious institutions. Others take a different route and pursue postgraduate programmes or employment in areas from statistics and financial management to conservation and teaching.

Some of the high-profile employers our graduates have gone on to work for include Royal London, Deloitte, CERN, Morgan Stanley and Ocado.

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