Mathematics and Statistics, BSc (Hons)

Mathematics and Statistics offers an engaging blend of subjects ideal for individuals with inquisitive minds, robust IT skills, and a keen interest in analyzing data patterns. This BSc program integrates a solid mathematical foundation with advanced statistics and machine learning, preparing graduates for data-driven careers. Taught by experienced mathematicians and statisticians from industry and research, the course leverages departmental expertise in pure and applied mathematics. Students benefit from a modern facility designed for optimal learning, starting with a broad Year 1 introduction to pure and applied mathematics, statistics, and probability, followed by increased statistical focus in Year 2.In the final year, students undertake an in-depth individual or internship project, often collaborating with external organizations for real-world application. Core Year 1 modules include Analysis, Calculus, Linear Algebra, Dynamics, Probability, Programming, and Statistics, covering topics from number systems to Bayesian principles. Assessment combines written and computer-based exams, project reports, presentations, and a substantial final-year project worth one-third of marks. Options for a placement year or study abroad extend the program to four years.

Year 1 Core modules: Analysis aims to provide an understanding of real and complex number systems, and to develop rigorously the calculus of functions of a single variable from basic principles. 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 geometric intuition and familiarity with vector methods in preparation for more demanding material later in the course. 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 specialised 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). Programming is taught via lectures and practical sessions that introduce basic principles and competence in computer programming. You will also study control structures; floating point arithmetic; and lists, strings and introduction to objects. 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.