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University of St Andrews · St Andrews

MSc Computer Science

Master'sComputing & IT

An advanced master's for computing graduates covering topics such as systems, software and data. Suits those aiming for senior technical roles or doctoral study.

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Plan the full costTuition pre-filled, with GBP and indicative LKR totals.

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Funding informationThis university has scholarship information recorded.

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Sri Lankan student planning

Four checks before you shortlist this course.

Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.

01Academic route

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

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03Funding

Scholarship possibilities

Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.

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04Full financial plan

Beyond the tuition fee

Plan for tuition, visa fee, Immigration Health Surcharge, required maintenance funds, travel and your first accommodation costs.

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Free preliminary check

Could this course fit your profile?

Answer four quick questions. Nothing is submitted or stored until you choose to contact GEC.

This tool is an early planning guide, not an offer, admissions decision or visa assessment. The university decides admission after reviewing your complete application.

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 Computer Science

An advanced master's for computing graduates covering topics such as systems, software and data. Suits those aiming for senior technical roles or doctoral study.

This 12-month postgraduate route concentrates on programming and computational problem-solving, computer systems, software and data, designing and evaluating practical digital solutions. 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

  • Programming and computational problem-solving
  • Computer systems, software and data
  • Designing and evaluating practical digital solutions
  • Design and build software solutions.

Skills development

Capabilities you can build

  • Programming
  • Algorithmic thinking
  • Systems analysis
  • Technical project work

The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.

Learning experience

How you may learn

  • Applied work such as case studies, workshops, projects or problem-based tasks.
  • 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 logical problem-solving and want a broad technical foundation for digital careers. 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:

  • Software developer
  • Systems analyst
  • IT consultant
  • Technical solutions 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.

32 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.

  1. 01
    Object-Oriented Modelling, Design and ProgrammingPublished course content
  2. 02
    Complex Systems Modelling and SimulationPublished course content
  3. 03
    Computer ArchitecturePublished course content
  4. 04
    Computer SecurityPublished course content
  5. 05
    Concurrency and Multi-Core ArchitecturesPublished course content
  6. 06
    Critical Systems EngineeringPublished course content
  7. 07
    Data Ethics and PrivacyPublished course content
  8. 08
    Data-Intensive SystemsPublished course content
  9. 09
    DatabasesPublished course content
  10. 10
    Discrete OptimisationPublished course content
  11. 11
    Distributed SystemsPublished course content
  12. 12
    Human Computer Interaction Principles and MethodsPublished course content
  13. 13
    Information VisualisationPublished course content
  14. 14
    Interactive Software and HardwarePublished course content
  15. 15
    Knowledge Discovery and DataminingPublished course content
  16. 16
    Language and ComputationPublished course content
  17. 17
    Logic and Software VerificationPublished course content
  18. 18
    Machine LearningPublished course content
  19. 19
    Principles of Computer Communication SystemsPublished course content
  20. 20
    Software Architecture and DesignPublished course content
  21. 21
    Software Engineering PrinciplesPublished course content
  22. 22
    Software QualityPublished course content
  23. 23
    Symbolic Artificial IntelligencePublished course content
  24. 24
    Uncertainty in Artificial IntelligencePublished course content
  25. 25
    Video GamesPublished course content
  26. 26
    Web TechnologiesPublished course content
  27. 27
    Additional optionalPublished course content
  28. 28
    Advanced Communication Networks and SystemsPublished course content
  29. 29
    Computer GraphicsPublished course content
  30. 30
    Programming Language Design and ImplementationPublished course content
  31. 31
    Signal Processing: Sound, Image, VideoPublished course content
  32. 32
    DissertationPublished course content

Source checked 19 October 2026. Titles are shown as concise factual course information; the university remains the authoritative source.

View official course contents

Entry requirements

Can I apply?

Academic
2:1 honours degree in Computer Science, with programming competence
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

Not sure you qualify? Send us your results — we’ll tell you honestly, free.

How we help

Support, clearly agreed.

  1. We check your eligibility and documents.
  2. We prepare and submit your application to University of St Andrews.
  3. We help you meet any offer conditions and get your CAS.
  4. We guide your Student visa application.

Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.

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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.