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 York · York
MSc Artificial Intelligence
Covers the theory and practice of AI, including symbolic and machine learning approaches, and its impact on industry and society. It requires a solid computer science background.
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
- 2:2 or equivalent in Computer Science or a relevant discipline, with a strong background in programming and maths
- Sri Lankan qualifications
- Bachelor Special or Professional degree: 60% / B+ / 3.30 GPA is comparable to a UK 2:1; 55% / B / 3.00 GPA is comparable to a 2:2. Most masters need at least a 2:2 equivalent; Pre-Masters available
- English (IELTS)
- 6.5, minimum 6.0 in each component
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 York.
- 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 york.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 York before you apply. Global Educational Consultants is an independent consultancy.