Mathematics, MMath (Hons)

This challenging four-year MMath in Mathematics advances to Master’s level, ideal for those pursuing postgraduate studies or careers requiring advanced mathematical skills and research. The first two years mirror the BSc structure, providing a broad foundation in pure and applied mathematics, statistics, and probability. From the third year, the curriculum expands to include sophisticated mathematical methods, with flexible module options allowing specialization or broad exploration. Taught by passionate researchers in a state-of-the-art facility, the program integrates learning with cutting-edge research.In the final year, students engage with advanced concepts through optional modules and a substantial project, which involves in-depth investigation of a chosen topic. Core first-year modules cover calculus, linear algebra, analysis, programming, dynamics, probability, and statistics. Assessment primarily consists of end-of-year examinations, with the final project contributing significantly via a report, poster, and presentation. Students may also opt for a placement year or study abroad, extending the program to five years.

Year 1 Core modules: Calculus builds on ideas of differentiation and integration in A level mathematics, beginning with functions of a single variable and moving on to functions of several variables. Topics include methods of solving ordinary and partial differential equations, and an introduction to Fourier Series and Fourier transforms. Linear Algebra presents mathematical ideas, techniques in linear algebra and develops the geometric intuition and familiarity with vector methods in preparation for more challenging material later in the course. Analysis aims to provide an understanding of real and complex number systems, and to rigorously develop the calculus of functions of a single variable from basic principles. Programming is taught via lectures and practical sessions that introduce basic principles and basic competence in computer programming. You will also study control structures; floating point arithmetic; and lists, strings and introduction to objects. Dynamics develops an understanding of elementary classical Newtonian dynamics as well as an ability to formulate and solve basic problems in dynamics. Probability introduces mathematics ideas on probability in preparation for more demanding material later in the course. The module presents a mathematical subject of key importance to the real-world (applied) that is based on rigorous mathematical foundations (pure). Statistics introduces frequentist and Bayesian statistics and demonstrates the relevance of these principles and procedures to real problems. This module lays the foundations for all subsequent study of statistics.