University of Leicester

What you'll study

The MMath combines advanced taught modules with a major independent project or dissertation. You will build on core areas of mathematics — including real and complex analysis, abstract and linear algebra, and differential equations — while choosing from a wide range of optional modules to pursue applied or pure directions.

• Core topics: advanced calculus and analysis, algebra and representation theory, differential equations and dynamical systems, and rigorous foundations of mathematics.
• Applied and computational topics: numerical analysis and scientific computing, mathematical modelling, optimisation, partial differential equations and continuum mechanics.
• Probability and statistics: measure-theoretic probability, stochastic processes, statistical inference and data-analytic methods.
• Specialist options: subjects such as fluid dynamics, mathematical biology, cryptography and number theory, topology and geometry, and topics in mathematical finance may be available depending on staff teaching and demand.
• Project/dissertation: a substantial individual research project supervised by academic staff, which develops project management, independent research skills and written and oral communication of mathematics.
• Learning formats: lectures, problem classes, seminars, computational labs and one-to-one supervision for the dissertation. Assessment typically combines coursework, exams and the final project.

Entry requirements

Entry is competitive and expects strong mathematical background. Applicants progressing from school will normally present high achievement in mathematics at A-level or international equivalent. Applicants holding an undergraduate degree should typically have a good honours degree in mathematics or a closely related discipline.

International applicants must demonstrate proficiency in English according to the University’s standard requirements. The admissions process takes into account the overall academic profile, references and any relevant experience or preparation for advanced study.

Career prospects

Graduates of the MMath are well placed for a variety of quantitative careers. Common destinations include data science and analytics, actuarial roles, quantitative finance, software and algorithm development, and roles in engineering and scientific computing. The programme also provides a strong foundation for doctoral study and academic research.

The course develops transferable skills valued by employers: problem solving, mathematical modelling, programming and numerical computation, statistical reasoning, and the ability to communicate complex ideas clearly.

Why study at University of Leicester

Leicester’s School of Mathematics and Actuarial Science offers a research-informed teaching environment with active research groups across pure and applied mathematics, probability and statistics. Students benefit from close contact with academic staff, opportunities to undertake research-led projects, and access to modern computing facilities and software used in mathematical practice.

The University provides structured support for careers and professional development, with help in preparing applications for jobs and postgraduate study. The department’s emphasis on both rigorous theory and practical computational skills makes the MMath a flexible qualification for a wide range of future paths.