Mathematics, MMath (Hons)

This MMath programme explores advanced techniques in mathematical modelling and insights from cutting-edge research. Students engage with dedicated mathematicians to study a range of topics, including medicine, biotechnology, food security, epidemic modelling, fluid mechanics, statistical machine learning, algebra, number theory, and mathematical finance. The course builds essential skills in problem-solving, analysis, and transferable abilities through project work, group study, and presentations, while offering opportunities to tailor learning via specialised modules.In the first year, students complete compulsory core modules in pure mathematics, applied mathematics, probability, and statistics. The second year combines core studies with optional modules, allowing exploration of personal interests, including subjects outside mathematics like business or psychology. Later years feature a group project and a final-year dissertation, providing hands-on experience with computer simulations, modelling, and independent research under expert guidance.

In the first year, all modules are compulsory. You will study core maths and also take foundation modules in the three main subject areas. These include pure mathematics, applied mathematics, probability and statistics. In year two, you will spend one third of your year studying core mathematics modules. For the remainder of your time, you will choose from a range of optional modules. This enables you to study topics that particularly interest you. You'll learn to follow rigorous methods and focus on proof of your workings. You also have the option to choose some modules from outside mathematics. Common choices include business, a language and psychology. A group project in the third year and a dissertation in the final year allow you to develop your group and independent study skills. We offer lots of optional modules for you to tailor your own degree and study topics that interest you. Many modules give you the opportunity for hands-on practical experience in using high-level statistical computer programmes, undertaking computer simulations, modelling and discussing your ideas.