BSc (Hons) Mathematics and Statistics

Year 1

Learn high-level mathematical and statistical skills and master industry software including Matlab and Maple right from the start. You’ll begin by building on the mathematical skills and topics you learnt at school, studying six core modules including calculus, linear algebra, numerical methods, pure mathematics, and probability and statistics. We’ve structured the curriculum so that all of our students acquire a common mathematical expertise. You’ll also be able to explore your interests with the flexibility to move between courses as you progress.

Core modules

• BPIE113 Stage 1 Mathematics Placement Preparation

• MATH1601 Mathematical Reasoning

• MATH1602 Calculus and Analysis

• MATH1603 Linear Algebra and Complex Numbers

• MATH1605 Probability with Applications

• MATH1610 Numerical and Computational Methods

Optional modules

• MATH1611 Geometry and Group Theory

• MATH1612 Big Data Analytics for Finance and Social Media

Year 2

Study core modules including advanced calculus, analysis, ordinary differential equations, a case study-based introduction to operational research and Monte Carlo techniques. An advanced statistical module helps you to build on and develop your existing knowledge and expertise.

Core modules

• BPIE213 Stage 2 Mathematics Placement Preparation

• MATH2601 Advanced Calculus

• MATH2602 Statistical Inference and Regression

• MATH2603 Ordinary Differential Equations

• MATH2604 Mathematical Methods and Applications

• MATH2605 Operational Research and Monte Carlo Methods

• MATH2606 Real and Complex Analysis

Optional placement year

Take an optional but highly recommended paid placement year. Your placement will provide valuable professional experience, enhancing your employability and making your CV really stand out. Previous placement with world renowned companies have included the Department for Communities and Local Government, Fujitsu, GlaxoSmithKline, Vauxhall Motors, Liberty Living and Eli Lilly.

Optional modules

• BPIE331 Mathematics and Statistics Placement

Final year

Choose between several different project modules in mathematics, statistics or both, or opting to study a school-based module. Your studies will focus on a diverse range of topics from partial differential equations and optimisation to a wide variety of statistical modules including medical and Bayesian statistics. After graduating, you’ll have the skills and experience needed to begin your career, or to take a research degree – often including funded places on MSc's in medical and financial statistics.

Optional modules

• MATH3603 Professional Experience in Mathematics Education

• MATH3604 Geometry and Algebra

• MATH3605 Partial Differential Equations

• MATH3606 Classical and Quantum Mechanics

• MATH3609 Optimisation, Networks and Graphs

• MATH3611 Electrodynamics and Relativity

• MATH3612 Dynamical Systems

• MATH3613 Data Modelling

• MATH3614 Medical Statistics

• MATH3616 Professional Experience in Industry

• MATH3623 Financial Statistics

• MATH3627 Mathematical Statistics in Context

• MATH3628 Project

• MATH3629 Fluid Dynamics

Every undergraduate taught course has a detailed programme specification document describing the course aims, the course structure, the teaching and learning methods, the learning outcomes and the rules of assessment.