If you have a passion for Mathematics and would like to explore this subject in-depth, then you should consider this Mathematics degree. You'll benefit from undergraduate Masters-level content that will equip you with analytical problem-solving skills and other transferable skills that are valued by a wide range of industries.
Throughout your course you'll study in an informal, supportive environment, and you'll work closely with the School's Mathematics-related research groups, Applied Mathematics, and Statistical Modelling. And you'll be pleased to know that our courses have consistently scored highly in the National Student Survey.
All of our undergraduate courses are accredited by the Institute of Mathematics and its Applications, which is our guarantee that this course is current and relevant to the needs of business. Our close links with industry means that, if you wish, you'll have the opportunity to take up job placements with some of the world's leading companies. Plus, you'll acquire specialist skills and knowledge to prepare you for further study and research if that is where your interest lies.
Every year we offer a small number of Mathematics Undergraduate Research Scholarships (MURS), giving successful applicants funding for a 6-8 week placement in one of our research teams. This is a great opportunity for you to further your research interests and contribute to the academic activities of the mathematics department.
More student opportunities
Our students have recently formed a Mathematics Society, and you'll have the opportunity to take part in regular events hosted on campus by the local branch of the Institute of Mathematics and its Applications.
What you'll study
There are approximately 120 places available across our Mathematics cluster of courses. Should your aspirations change during the course, you can opt to graduate after just three years with a BSc (Hons) degree. Our other courses include:
- BSc (Hons) Computer Science and Mathematics
- BSc (Hons) Mathematics
- BSc (Hons) Financial Mathematics
- BSc (Hons) Sport Science and Mathematics.
Who will teach me?
- Dr David Chappell (FHEA) is an applied mathematician, with interests in fluid and wave problems arising in engineering and industry.
- Professor Nadia Chuzhanova uses mathematical, statistical and computational approaches to uncover the architectural flaws in the human genome that lead to genomic disorders.
- Dr Jonathan Crofts (FHEA) has research interests in the areas of network science and dynamical systems, and in particular their applications to biology.
- Dr Tim Hetherington (FHEA) is interested in graph theory, and acts as the University Coordinator for the British Combinatorial Committee.
- Dr Martin Nelson is an applied mathematician, whose work has applications including the modelling of gastrointestinal cancer and carbon capture and storage.
- Dr Golnaz Shahtahmassebi (FHEA) specialises in the effective analysis and visualisation of data (with application to life sciences including medicine, sport, and physics) using statistical, mathematical, and computational techniques.
- Dr Colin Wilmott is interested in open quantum systems and the physics of information. Colin is a former recipient of three European research fellowships.
Meet the rest of the team
Visit our academic team pages to find out more about our approach to teaching, our partners and research interests.
This module aims to consolidate and extend your previous knowledge of calculus and linear algebra, with emphasis on the underlying intuition of the techniques.
Gain an introduction to important statistical ideas and their application using modern software. You will explore data analysis, probability, statistical inference and statistical modelling.
Introduction to Numerical Methods
Learn about important numerical methods for solving mathematical problems and develop computational skills using specialist mathematical software packages.
Introduction to Abstract Algebra
You will be introduced to the world of rigorous mathematics, as well as the theory to help you learn about the most important algebraic structures; groups and vector spaces.
Vector Algebra and Calculus
Gain a basic knowledge of vector algebra and vector calculus and learn how to apply these techniques to physical situations.
Foundations and Investigations in Mathematics
Develop a range of skills appropriate to conducting open-ended mathematical investigations. Learn about the importance of rigour and techniques of proof in mathematical contexts.
Differential Equations and Transform Methods
Extend your knowledge of calculus, differential equations and linear algebra, and gain an introduction to difference equations, the eigen problem and transform methods.
Probability and Statistical Inference
Refine your knowledge of statistical inference and statistical modelling and further develop essential computational and IT skills.
Numerical Methods for Ordinary Differential Equations
You will further develop your computational and professional skills and enhance your knowledge of specialist numerical software packages.
Linear Algebra and its Applications
This module will build your conceptual and technical background and, in particular, work on vector spaces will be extended and
generalised to linear transformations. You will be introduced to coding theory through the application of linear algebra to linear codes.
Broaden your knowledge, understanding and skills in advanced higher calculus to topics including Fourier series, partial differential equations and complex analysis.
Learn how to select and apply appropriate techniques, and use specialist mathematical and statistical software to help solve open ended applied problems. Extend your commercial awareness by tackling industrial problems in a professional manner.
Differential and Integral Equations
Apply your knowledge of advanced calculus and differential equations to the solution of differential and integral equations.
Numerical Analysis and Dynamical Systems
Develop your knowledge of numerical methods with an emphasis on numerical optimisation techniques, advanced methods for the numerical solution of ordinary differential equations and the application of methods to non-linear problems.
Extend your understanding of probabilistic modelling to include stochastic processes and learn advanced techniques for investigating the behaviour of stochastic processes.
Research Methodology and Ethics
Provides underpinning research skills relevant to independent study and an introduction to the techniques required to formulate a research project and critical review.
Optional modules - choose one module from:
This module will help you to recognise and understand the principal methods of analysis for medical and financial data, including the analysis of survival data and dealing with large, complex datasets.
You will continue your previous studies in the fields of linear algebra and differential and difference equations.
Plus choose one module from:
Extends your experience of statistical techniques and methodologies, applying them in a diverse range of industrial and commercial contexts.
Topics in Applied Mathematics
Broadens your knowledge, understanding and skills in the reformulation and solution of equations which are relevant to the modelling of physical phenomena. Topics include partial differential equations and the fundamentals of mathematical modelling.
Topics in Pure Mathematics
Introduces you to a selection of research informed advanced topics in pure mathematics, and extends and complements ideas introduced in Year One and Year Two. Topics include graph theory and geometry.
MMath Research Project
You will demonstrate your skills and knowledge by producing a substantial, individual piece of work in mathematics or statistics selected from a list of approved titles and reflecting the modules you have taken in earlier years.
Plus, choose three modules from:
Coding Theory and Cryptography
Introduces you to the theory of error correcting codes and cryptography in facilitating the reliable, efficient and secure communication of information.
Computational Statistics and DataAnalysis
Explore topics from computational statistics and statistical models that are relevant to modern applications, with an emphasis on developing solid conceptual understanding of these methods through applications.
An introduction to six important theoretical mathematical methods and their wide ranging applications, primarily in physics and engineering.
Topics in Mathematical Biology
Examine the use of differential equations and their application to biological systems. You will study network models for a range of
biological processes, including models of drug delivery, tumour growth and multicellular systems.
View the full course specification
Please note that course specifications may be subject to change
Careers and employability
There's a growing need for skilled mathematicians in all areas of industry. Skills such as numeracy and reasoning, together with the analytical approach to problem-solving that you'll acquire, are highly sought after by employers.
If you have ambitions to progress into a professional scientific career in industry or academia, then this course is for you.
After Year Two, you have the opportunity to undertake a one-year work placement in industry, including overseas options. This will give you the chance to gain vital experience and put your knowledge into practice.
Recent Mathematics students have secured placements in the following roles and companies:
You'll be actively encouraged and supported by our dedicated placement team who'll help you find and apply for positions that are right for you. They'll also provide support while you're in your place or work, whether that's home or abroad.
You'll be assessed throughout the year and at the end of your placement you'll write a reflective report and diary. On completion of a successful placement, you'll be eligible to receive an additional award - the Placement Diploma in Professional Practice.