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St Mary's University, Twickenham · London

MSc Artificial Intelligence

Master'sData Science & AI

Introduces AI techniques such as machine learning and intelligent systems with practical project work. Aimed at graduates wanting to build or apply AI in industry.

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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 degree from a recognised institution: Upper Second class or 60% for a UK 2:1; Lower Second class or 55% for a UK 2:2

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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?

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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 St Mary's University, Twickenham

International students are automatically considered for a Country Scholarship (£1,500 per year for UG; £1,500 for most PG courses) and may receive an Excellence Scholarship (£4,000 per year for UG; £4,000 in the first year for PG); reduced amounts apply to some courses.

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

Introduces AI techniques such as machine learning and intelligent systems with practical project work. Aimed at graduates wanting to build or apply AI in industry.

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
  • Prepare, analyse and communicate insights from data.

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

Check the official curriculum.

We could not reliably extract stable course contents from the public course page. Use the official curriculum link below rather than relying on an invented or outdated list.

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Review the current compulsory and optional modules for your intended intake before applying.

Entry requirements

Can I apply?

Academic
2:2 honours degree or equivalent
Sri Lankan qualifications
Bachelor's degree from a recognised institution: Upper Second class or 60% for a UK 2:1; Lower Second class or 55% for a UK 2:2
English (IELTS)
6.5 overall, no section below 6.0
English alternatives
English test waiver possible with Sri Lankan GCE A-level English grade B or above (UG: within 2 years of A-levels; PG: within 2 years of completing the bachelor's degree)

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 St Mary's University, Twickenham.
  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 stmarys.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 St Mary's University, Twickenham before you apply. Global Educational Consultants is an independent consultancy.