Mathematics

Why choose this course
From predicting climate change patterns to securing cybersecurity systems, from modelling the spread of diseases to driving AI, maths is everywhere. And at Surrey, you’ll be learning from experts who are shaping the field and benefitting from our valuable industry connections.

• Mathematics is fundamental to the way our world behaves, with applications across the sciences, technology, finance and management.

• Get industry-ready with our award-winning Professional Training placements - our maths students have placed at organisations like the National Physical Laboratory and the Defence Science and Technology Laboratory.

• You’ll develop transferable skills such as creative problem-solving and logical reasoning, which are always in great demand in a wide range of career sectors.

• As a mathematics undergraduate at Surrey, you’ll be part of a vibrant and friendly community including the Maths Society and Maths and Statistics Advice (MASA) team. You’ll benefit from a personal tutor, small group teaching, and a lively, research-active learning environment.

• You can get involved in research through a summer internship within our School of Mathematics and Physics.

We’re preparing you for the future by integrating AI into every course, building digital skills, confidence and creativity that employers value in tomorrow’s workplace.

What you will study
Our BSc and MMath Mathematics degree courses help you build on your existing knowledge and gain a strong foundation across the fundamentals of mathematics.

You can choose to study for a BSc or opt for our MMath Mathematics degree. The latter is a direct route to a masters qualification, known as an integrated masters, and enables you to delve deeper into advanced mathematics. It also provides a good foundation for further study at postgraduate level.

In your first year, you will develop your fundamental mathematical knowledge and problem-solving skills by studying a range of mathematics. You will also learn mathematical programming using Python and have training in professional skills, such as effective teamwork and technical report writing.

In your second year you’ll get to choose some of your modules, and in your third year, what you study is entirely your choice. Available modules in third year include Riemannian geometry, mathematical theory of data science, quantum mechanics, and mathematical ecology and epidemiology.

Course Modules

To see the full range of modules for this course please visit our website – the link is under the Course contact details. You will also find full details of the programme, including programme structure, assessment methods, contact hours and Graduate prospects.