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Four-year bachelor special, honours or professional degree from a recognised university: final mark 60% is comparable to a UK 2:1 and 55% to a UK 2:2
Check my qualifications →Heriot-Watt University · Edinburgh
MSc Artificial Intelligence
Covers the technical foundations and practical application of AI, including machine learning and intelligent systems, with hands-on project work. Suits graduates with design, digital or programming skills who want to move into AI roles.
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IELTS or an alternative
6.0 overall, no band below 5.5
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Scholarship information
Potential funding at Heriot-Watt University
Some masters programmes (for example MSc Data Science) offer an Academic Excellence Scholarship of a £2,000 tuition fee reduction to the strongest applicants; other scholarships are listed in the university's scholarship search.
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
Covers the technical foundations and practical application of AI, including machine learning and intelligent systems, with hands-on project work. Suits graduates with design, digital or programming skills who want to move into AI 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
- 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
Published course content for this programme.
18 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.
- 01Biologically Inspired ComputationPublished course content
- 02Data Mining and Machine LearningPublished course content
- 03Artificial Intelligence and Intelligent AgentsPublished course content
- 04Computer-aided VerificationPublished course content
- 05Computer GraphicsPublished course content
- 06Human Robot InteractionPublished course content
- 07Introduction to Natural Language ProcessingPublished course content
- 08Intelligent RoboticsPublished course content
- 09Software Engineering FoundationsPublished course content
- 10Research Methods and Project PlanningPublished course content
- 11Systems Thinking and AnalysisPublished course content
- 12Advanced Human Computer InteractionPublished course content
- 13Advanced Software EngineeringPublished course content
- 14Big Data ManagementPublished course content
- 15Conversational Agents and Spoken Language ProcessingPublished course content
- 16Distributed & Parallel TechnologiesPublished course content
- 17Games ProgrammingPublished course content
- 18Masters Project and DissertationPublished course content
Entry requirements
Can I apply?
- Academic
- 2:2 honours degree (or non-UK equivalent) showing understanding of areas such as design, creative digital skills or computing/programming; relevant work experience considered
- Sri Lankan qualifications
- Four-year bachelor special, honours or professional degree from a recognised university: final mark 60% is comparable to a UK 2:1 and 55% to a UK 2:2
- English (IELTS)
- 6.0 overall, no band below 5.5
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Course information checked October 2026 from the official course page on hw.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 Heriot-Watt University before you apply. Global Educational Consultants is an independent consultancy.