Mathematics with Data Science with Foundation Year Bachelor of Science (with Honours) - BSc (Hons)

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](https://www.surrey.ac.uk/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](https://surreyunion.org/your-activity/clubs-and-societies-a-z/maths-society) and [Maths and Statistics Advice](https://my.surrey.ac.uk/study/study-support/maths-and-statistics-advice-masa) (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, you'll 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.

Foundation courses\
A foundation year can develop your skills and make it easier to get started at university. It is an extra year of study at the start of your course that leads in to a full degree programme. Foundation courses are a great option if:

* You don’t have the grades for a full degree course.

* You have non-traditional qualifications or experience.

* You’re starting university after some time away from education.

* You’re looking for more support during the transition into university study.

Life as a foundation year student\
During a foundation year, you’ll learn about your chosen subject, develop your study skills and get used to university life. On successful completion of your foundation year, you’ll be ready to progress to the first year of your degree course.

As a foundation year student, you’ll be a full student of the University and part of our community. You’ll have access to all our campus facilities and support.