University of Nottingham

What you'll study

The MMath is a four-year integrated master’s offered by the School of Mathematical Sciences. Teaching combines structured core modules in pure mathematics and analysis with applied and computational options, allowing progressive specialisation across the programme.

• Year 1–2 (Foundations): calculus and analysis, linear algebra, introductory probability and statistics, differential equations, and basic numerical methods. Emphasis is on developing rigorous proof skills and mathematical communication.
• Year 2–3 (Intermediate): modules typically include real and complex analysis, abstract algebra, multivariable calculus, ordinary differential equations, mathematical modelling, and introductory modules in computational mathematics and stochastic processes.
• Year 3–4 (Advanced and specialist study): advanced topics such as measure-theoretic probability, functional analysis, partial differential equations, topology, algebraic structures, optimisation and control, computational methods, and specialist applied modules (for example mathematical finance, fluid dynamics, cryptography or statistics).
• Project and dissertation: the honours year includes a substantial research-led project or dissertation, supervised by academic staff. Projects can be theoretical, computational or applied and often link to active research groups within the School.
• Teaching and assessment: a mix of lectures, problem classes, seminars and computer-based labs. Assessment uses a combination of exams, coursework, programming assignments and project reports.

Entry requirements

Applicants are expected to have strong mathematics qualifications at secondary level and evidence of aptitude for rigorous mathematical study. Typical offers for direct entry include strong A-level or equivalent performance with Mathematics as a required subject. The School also accepts international qualifications such as the International Baccalaureate, and mature or alternative-route applicants are considered on the basis of prior study or relevant experience.

For applicants progressing from other undergraduate programmes, entry to the integrated MMath route is normally by direct application at the start of the programme; students transferring into later years may be considered in exceptional cases and will need to demonstrate an appropriate academic background in mathematics. All applicants must meet the University’s English language requirements where relevant.

Career prospects

Graduates of the MMath are equipped for a wide range of career paths that value strong quantitative, analytical and problem-solving skills. Common destinations include:

• Finance and banking (quantitative analyst, risk analyst, investment research)
• Data science and analytics roles across industry and technology
• Actuarial work and insurance
• Software development, modelling and computational engineering
• Research and doctoral study in pure or applied mathematics
• Teaching and educational careers
• Consultancy and technical roles in government, energy, healthcare and manufacturing

The degree’s combination of theory, computation and project experience also makes graduates attractive to employers running graduate schemes and to organisations seeking numerate problem-solvers.

Why study at University of Nottingham

The University of Nottingham’s School of Mathematical Sciences hosts active research groups across pure and applied mathematics, probability and statistics, offering students access to staff engaged in contemporary mathematical problems. Learning is supported by small-group problem classes, opportunities for undergraduate research projects, and access to computing facilities and high-performance resources for numerical work.

• Research-led teaching: coursework and final-year projects often reflect current research themes and offer opportunities to work with academic supervisors.
• Flexible specialisation: a broad first phase followed by specialist options allows students to tailor their degree to theoretical, applied or computational interests.
• Professional development: links with industry, careers support and optional opportunities such as placements or study abroad enhance employability.
• Supportive community: tutorial support, maths societies and departmental seminar programmes provide academic and social networks for mathematicians.