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Mathematics with Data Science, BSc (Hons), with industry placement

University of Surrey, United Kingdom

 
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Subject ranking

Information Technology and Systems
UK / CUG 2024
1st
Artificial Intelligence
UK / USNews 2024
3rd
Computer Science
UK / USNews 2024
6th

Costs

Course fees
Entertainment, books
food & rent
S$17K / year
Beer S$7
MacDonalds S$10
Cinema S$17
Coffee S$5
TotalS$17K / year

Entry requirements

A Level ABB
Diploma 2.9
International Baccalaureate 33

Scholarships

Surrey International Excellence Award (Undergraduate)
£5000 for tuition
Unlimited quantity
Surrey International Excellence Award (Postgraduate)
£5000 for tuition
Unlimited quantity
British Chevening Scholarships
100% for tuition and living expenses
Limited quantity

Information

Course
Code
G1G9
University
Code
S85
Upcoming
Intakes
Sep 2025
Course
Website (External)
Pathway
Programmes
See pathways
University
Information
WHATSAPP
+65 9650 3225
HOTLINE
+65 6333 1300

Duration

4 years
Graduate
2029
About the course

Course summary

Why choose this courseEncompassing 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.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. You can also take part in our award-winning Professional Training placements scheme, which prepare students for roles in various sectors. What you will studyOur course helps 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 also 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.

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.


What you will learn

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.

A local representative of University of Surrey in Singapore is available online to assist you with enquiries about this course.