Your qualification fit
Bachelor's (Special, Honours or Professional) degree from an accredited institution with Second Class (Upper Division), minimum B+, or GPA 3.3/4.0
Check my qualifications →University of St Andrews · St Andrews
MSc Artificial Intelligence
Combines AI and machine learning theory with practical lab and group project work. Aimed at computer science graduates who want to build AI systems or move into AI research.
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IELTS or an alternative
7.0 overall, 6.0 in each component
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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 St Andrews
St Andrews lists undergraduate and postgraduate scholarships through its online scholarships catalogue; no Sri Lanka-specific award amounts were confirmed on the pages checked.
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 Artificial Intelligence
Combines AI and machine learning theory with practical lab and group project work. Aimed at computer science graduates who want to build AI systems or move into AI research.
This 12-month postgraduate route concentrates on machine learning and intelligent systems, data, algorithms and model evaluation, responsible ai and real-world implementation. 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
- Machine learning and intelligent systems
- Data, algorithms and model evaluation
- Responsible AI and real-world implementation
- Programming and computational problem-solving
Skills development
Capabilities you can build
- Algorithmic problem-solving
- Model development and testing
- Programming with data
- Responsible technology evaluation
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 with a strong interest in computation who want to design, evaluate and apply intelligent systems responsibly. 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:
- AI or machine-learning specialist
- Data scientist
- Intelligent-systems developer
- AI solutions consultant
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.
29 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.
- 01Symbolic Artificial IntelligencePublished course content
- 02Uncertainty in Artificial IntelligencePublished course content
- 03Artificial Intelligence (Special Subject)Published course content
- 04Complex Systems Modelling and SimulationPublished course content
- 05Constraint ProgrammingPublished course content
- 06Critical Systems EngineeringPublished course content
- 07DatabasesPublished course content
- 08Discrete OptimisationPublished course content
- 09Knowledge Discovery and DataminingPublished course content
- 10Language and ComputationPublished course content
- 11Logic and Software VerificationPublished course content
- 12Machine LearningPublished course content
- 13Object-Oriented Modelling, Design and ProgrammingPublished course content
- 14Principles of Computer Communication SystemsPublished course content
- 15Software Architecture and DesignPublished course content
- 16Software Engineering PrinciplesPublished course content
- 17Software QualityPublished course content
- 18Additional optionalPublished course content
- 19Advanced Communication Networks and SystemsPublished course content
- 20Computer ArchitecturePublished course content
- 21Computer GraphicsPublished course content
- 22Computer SecurityPublished course content
- 23Concurrency and Multi-Core ArchitecturesPublished course content
- 24Distributed SystemsPublished course content
- 25Programming Language Design and ImplementationPublished course content
- 26Signal Processing: Sound, Image, VideoPublished course content
- 27Video GamesPublished course content
- 28Dissertation projectPublished course content
- 29Our approach to course revision is described onlinePublished course content
Entry requirements
Can I apply?
- Academic
- 2:1 honours degree in Computer Science, with solid programming experience
- Sri Lankan qualifications
- Bachelor's (Special, Honours or Professional) degree from an accredited institution with Second Class (Upper Division), minimum B+, or GPA 3.3/4.0
- English (IELTS)
- 7.0 overall, 6.0 in each component
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Course information checked October 2026 from the official course page on st-andrews.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 St Andrews before you apply. Global Educational Consultants is an independent consultancy.