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University of East Anglia · Norwich

MSc Advanced Computing Science

Master'sComputing & IT

An intensive one-year programme for computer science graduates who want to specialise in areas such as secure systems, advanced AI and high-performance computing. Suits those aiming for senior technical or research-led roles.

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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 degree 2:2 in Computer Science or a related subject with substantial programming content

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03Funding

Scholarship possibilities

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04Full financial plan

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Programme overview

A clearer look at MSc Advanced Computing Science

An intensive one-year programme for computer science graduates who want to specialise in areas such as secure systems, advanced AI and high-performance computing. Suits those aiming for senior technical or research-led roles.

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

  • 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 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.

21 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
    Creating an augmented reality (AR) game on mobile devicesPublished course content
  2. 02
    Midi to tablature transcriptionPublished course content
  3. 03
    Sentiment polarity classification of tweets using supervised modelsPublished course content
  4. 04
    Reconstructing speech from articulatory dataPublished course content
  5. 05
    Comparing MPI and GPU Computing in the CloudPublished course content
  6. 06
    Programming the Nao robot to play draughtsPublished course content
  7. 07
    Artificial Intelligence (AI) in gamesPublished course content
  8. 08
    DISSERTATIONPublished course content
  9. 09
    PROFESSIONAL SKILLS FOR COMPUTER SCIENTISTSPublished course content
  10. 10
    ADVANCED PROGRAMMINGPublished course content
  11. 11
    ADVANCED WEB DEVELOPMENTPublished course content
  12. 12
    AUDIO AND VISUAL PROCESSINGPublished course content
  13. 13
    ARTIFICIAL INTELLIGENCEPublished course content
  14. 14
    INTRODUCTION TO CYBER SECURITYPublished course content
  15. 15
    INFORMATION VISUALISATIONPublished course content
  16. 16
    DATA MININGPublished course content
  17. 17
    UBIQUITOUS COMPUTINGPublished course content
  18. 18
    DEVELOPING SECURE SOFTWAREPublished course content
  19. 19
    COMPUTER VISIONPublished course content
  20. 20
    GAME AND MOBILE APP DEVELOPMENTPublished course content
  21. 21
    ADVANCED ARTIFICIAL INTELLIGENCEPublished 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
Bachelor's degree 2:2 in Computer Science or a related subject with substantial programming content
Sri Lankan qualifications
We’ll check your qualifications against this course for you.
English (IELTS)
6.0 overall, minimum 5.5 in each component

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How we help

Support, clearly agreed.

  1. We check your eligibility and documents.
  2. We prepare and submit your application to University of East Anglia.
  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 uea.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 East Anglia before you apply. Global Educational Consultants is an independent consultancy.