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 Worcester · Worcester
MSc Artificial Intelligence
For graduates of numerate subjects who want to specialise in AI or data science, moving from core concepts to building, testing and managing AI systems. It prepares students for AI engineering and data 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
- Honours degree at 2:2 or above in a numerate discipline (e.g. computing, engineering, IT, mathematics, physics, economics), or international equivalent
- Sri Lankan qualifications
- We’ll check your qualifications against this course for you.
- English (IELTS)
- 6.5 overall, no component below 5.5
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 Worcester.
- 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 worcester.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 Worcester before you apply. Global Educational Consultants is an independent consultancy.