Mathematics with Data Science MMath

Why choose this course

Encompassing the latest advances in mathematics for data science, our courses give you a strong foundation in core mathematics including equations and classical dynamics, while you can explore a wide range of optional modules including quantum mechanics and the mathematics of weather and climate.

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.

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 mathematics with data science courses help you build on your current knowledge and gain a strong foundation across the fundamentals of mathematics, data science and statistics. This includes algebra, analysis, probability and advanced calculus. Data science and statistics modules together comprise between one-quarter and one-third of the programme.

In your first year, youll learn the fundamental role of mathematics for data science, develop your mathematical programming skills using Python (which will be further developed in Year 2) and gain experience with R programming.

In Year 3, you’ll be able to choose from a broad range of optional modules in topics such as experimental design, asset pricing theory, mathematical theory of data science, Bayesian statistics, and graphs and networks.