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BSc Honours in Machine Learning, Mathematics and Statistics at University of Glasgow - UCAS

University of Glasgow

Degree level: Undergraduate

BSc Honours in Machine Learning, Mathematics and Statistics

Course options

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 and 4 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. There is also an option to complete a fifth year to graduate with an integrated Masters, MSci. 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

Application codes

Course code:
G500
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

Please click the following link to find out more about qualification requirements for this course

https://www.gla.ac.uk/undergraduate/degrees


English language requirements

TestGradeAdditional details
IELTS (Academic)6.56.5 with no subtests under 6. We accept IELTS One Skill Retake. Tests must have been taken within 2.5 years of start date. Applicants must meet the overall and subtest requirements with a single test.
TOEFL (iBT)9090 overall with Reading 20; Listening 19; Speaking 19; Writing 21. Tests must have been taken within 2.5 years of start date. Applicants must meet the overall and subtest requirements.
PTE Academic5959 with minimum 59 in all subtests. Tests must have been taken within 2.5 years of start date. Applicants must meet the overall and subtest requirements using a single test.
Cambridge English Proficiency176 overall, no subtest less than 169. Tests must have been taken within 2.5 year sof start date. Applicants must meet the overall and subtest requirements using a single test.
Cambridge English Advanced176 overall, no subtest less than 169. Tests must have been taken within 2.5 year sof start date. Applicants must meet the overall and subtest requirements using a single test.

For applicants whose first language is not English, the University sets a minimum English Language proficiency level. We do recognise that some applicants may already have a good command of English through education and work experience. However, in line with UKVI requirements, we must insist on a satisfactory English language test. You can also meet our English language requirements with qualifications from school. Please note that these are the University’s standard requirements and for some courses these may be higher. Applicants should always check the specific requirements for their chosen course.

Full details of our English language requirements including which school qualifications we accept can be found on our website:

https://www.gla.ac.uk/international/englishlanguage/requirements/


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.
BSc Honours in Machine Learning, Mathematics and Statistics at University of Glasgow - UCAS