Course summary
This programme explores the mathematical and statistical foundations of machine learning and artificial intelligence, equipping you with theoretical depth and practical skills to innovate in data-driven technologies Why study this course at the University of Glasgow This BSc combines expertise in Computing Science and Mathematics & Statistics, and offers a learning environment where theory meets real-world application with world-class research links, including the Alan Turing Institute. You’ll gain a deep understanding of AI fundamentals while exploring how they apply across areas like health, business, and finance, alongside ethical and societal considerations. It’s a programme designed to help you think critically, innovate, and make an impact in a rapidly evolving field. Programme Structure Year 1 You will choose between two pathways depending on prior programming experience. All students study Computing Science (40 credits), Mathematics (40 credits), and are recommended to take Statistics (40 credits), building a strong foundation for advanced study. Year 2 You will deepen your understanding of core topics including algorithms, data structures, calculus, linear algebra, and statistical inference. Programming and mathematical modelling are integrated into coursework. Years 3, 4 and 5 If you progress to Honours (years 3 and 4), study will focus on advanced machine learning, deep learning, optimisation, and statistical modelling. You will engage in independent research, ethical AI discussions, and interdisciplinary applications in fields like health, finance, and robotics. If you are studying for the MSci, in years 4 and 5 you will choose courses listed at Level 4 (SCQF 9) and Level 5 (SCQF 10) in the Mathematics & Statistics, and Computing Science course catalogues. Some options will require that you have studied certain subjects beforehand. Career Prospects Graduates from this programme are well-prepared for careers in AI, data science, finance, healthcare, and academia. Employers include PwC, Deloitte, RBS, and tech firms.
How to apply
14Jan
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G501
- Institution code:
- G28
- Campus name:
- Gilmorehill (Main) Campus
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
Scottish Higher
Please click the following link to find out more about qualification requirements for this course
Student Outcomes
Operated by the Office for Students
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Glasgow
Berkeley Square
Pavilion 3
99 Berkeley Street
Glasgow
G3 7HR