Your qualification fit
Bachelor Special or Professional degree: 2:1 / 60% / GPA 3.30 for programmes requiring a UK 2:1; 2:2 / 55% / GPA 3.0 for programmes requiring a UK 2:2.
Check my qualifications →University of Glasgow · Glasgow
MSc Data Science & Artificial Intelligence
Covers the analysis and use of large data sets alongside AI techniques, finishing with a substantial development or research project. Aimed at graduates with a computing background heading for data and tech industry roles.
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Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
IELTS or an alternative
6.5 overall, Writing 6.5 and no other band below 6.0 (or Writing 6.0 with no other band below 6.5)
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Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
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Scholarship information
Potential funding at University of Glasgow
World Changers Global Excellence Scholarship for new international UG students (2027 entry): £10,000 per year for Science & Engineering and MVLS, £7,000 per year for Arts and Social Sciences. Global Leadership Scholarship for PGT: £10,000 tuition fee waiver.
Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.Programme overview
A clearer look at MSc Data Science & Artificial Intelligence
Covers the analysis and use of large data sets alongside AI techniques, finishing with a substantial development or research project. Aimed at graduates with a computing background heading for data and tech industry roles.
This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.
Course focus
What you can expect to explore
- Data preparation, exploration and visualisation
- Statistical modelling and machine-learning methods
- Turning complex evidence into useful decisions
- Machine learning and intelligent systems
Skills development
Capabilities you can build
- Python or analytical programming
- Statistical reasoning
- Data visualisation
- Model evaluation and communication
The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.
Learning experience
How you may learn
- Practical, laboratory, studio, simulation or supervised activities where appropriate to the discipline.
- Independent postgraduate study, critical reading and a dissertation or major project where required.
- Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
Who is this course for?
A strong fit for students who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.
Career direction
Where it may lead
Relevant career directions may include:
- Data scientist
- Data analyst
- Business intelligence analyst
- Machine-learning or analytics specialist
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
33 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
- 01Programming and Systems Development (H)Published course content
- 02Research and Professional Skills (M)Published course content
- 03Introduction to Data Science and Systems (M)Published course content
- 04Machine Learning & Artificial Intelligence for Data Scientists (M)Published course content
- 05MSc Project for Computing Science+Published course content
- 06Specialist courses (choose at least four)Published course content
- 07Deep Learning for MSc (M)Published course content
- 08Information Retrieval (M)Published course content
- 09Web Science for MScPublished course content
- 10Big Data: Systems, Programming, and Management (M)Published course content
- 11Text as Data for MScPublished course content
- 12Security courses (choose at least one)Published course content
- 13Cryptography and Provable Security (M)Published course content
- 14CyberSecurity Fundamentals for MSc (M)Published course content
- 15Human-Centred Security (M)Published course content
- 16Cyber Systems Forensics (M)Published course content
- 17Human Computer Interaction Design and Evaluation (M)Published course content
- 18Internet Technology (M)Published course content
- 19Secured Software Engineering (M)Published course content
- 20Information Visualisation (M)Published course content
- 21Mobile Human-Computer Interaction for MScPublished course content
- 22Advanced ProgrammingPublished course content
- 23C+ or C++ ProgrammingPublished course content
- 24Embedded SystemsPublished course content
- 25JavaPublished course content
- 26MicrocontrollersPublished course content
- 27Object-Oriented ProgrammingPublished course content
- 28PythonPublished course content
- 29Visual BasicPublished course content
- 30ComputingPublished course content
- 31Algorithms Correctness and EfficiencyPublished course content
- 32App DevelopmentPublished course content
- 33Artificial Intelligence MethodsPublished course content
Entry requirements
Can I apply?
- Academic
- 2:1 Honours (or equivalent) in a degree with Computing as a major subject (at least 50% of credit in Computing/Advanced Programming).
- Sri Lankan qualifications
- Bachelor Special or Professional degree: 2:1 / 60% / GPA 3.30 for programmes requiring a UK 2:1; 2:2 / 55% / GPA 3.0 for programmes requiring a UK 2:2.
- English (IELTS)
- 6.5 overall, Writing 6.5 and no other band below 6.0 (or Writing 6.0 with no other band below 6.5)
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- We check your eligibility and documents.
- We prepare and submit your application to University of Glasgow.
- We help you meet any offer conditions and get your CAS.
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Similar courses at other universities
Course information checked October 2026 from the official course page on gla.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with University of Glasgow before you apply. Global Educational Consultants is an independent consultancy.