Mathematics with Data Science with Foundation Year

Course summary
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. It’s 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.
Why choose this course
Encompassing the latest advances in both disciplines, our courses enable you to develop skills such as creative problem-solving and logical reasoning, which are in great demand in a range of sectors.
Take the opportunity to get industry-ready with our award-winning Professional Training placements.
As a mathematics undergraduate at Surrey, you’ll be part of a vibrant and friendly community. You’ll benefit from a personal tutor, small group teaching, and a lively, research-active learning environment.
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.
How to apply
Application codes
- Course code:
- G1G6
- Institution code:
- S85
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Historical entry grades data BETA
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
Not enough data available
We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.
Fees and funding
Choose a specific option to see funding information.
Course optionsSponsorship information
The University of Surrey offers a range of scholarships and bursaries to support our students, please visit https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries for more details.
University of Surrey
Guildford
GU2 7XH
Course contact details
Admissions
Email:admissions@surrey.ac.uk
Phone:+44(0)1483 682222
