Programme description
What you can expect to study
- Prepare, analyse and communicate insights from data.
- Apply statistical and machine-learning techniques.
- Use programming and data tools to solve practical problems.
University of Edinburgh · Edinburgh
MSc Artificial Intelligence
Advanced study of artificial intelligence including machine learning, robotics and natural language processing, taught in the School of Informatics. Suits strong computing or quantitative graduates aiming for AI research or industry roles.
Career direction
Where it may lead
Possible career directions include:
- Data scientist
- Data analyst
- Machine-learning specialist
- Business intelligence analyst
Career outcomes depend on experience, professional registration where applicable and the modules completed. We can help you compare the exact curriculum before you apply.
Entry requirements
Can I apply?
- Academic
- A UK 2:1 honours degree (or international equivalent) in informatics, AI, computer science, cognitive science, econometrics, electrical engineering, linguistics or a related subject
- Sri Lankan qualifications
- We’ll check your qualifications against this course for you.
- English (IELTS)
- 7.0 overall, at least 6.5 in three components and 6.0 in the other
Not sure you qualify? Send us your results — we’ll tell you honestly, free.
How we help
Your application, handled.
- We check your eligibility and documents.
- We prepare and submit your application to University of Edinburgh.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
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Course information checked October 2026 from the official course page on study.ed.ac.uk. The expanded description is a concise GEC summary based on the course record and subject area; module choices, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with University of Edinburgh before you apply. Global Educational Consultants is an independent consultancy.