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 Huddersfield · Huddersfield
Artificial Intelligence MSc
Covers the methods behind modern AI systems, such as machine learning and intelligent systems, with practical application to complex technologies. For computing or engineering graduates moving into AI 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
- BSc or BEng Honours degree (2:2 or above) in computing, engineering or a related subject, or equivalent professional qualification
- Sri Lankan qualifications
- Bachelor's degree (course pages typically ask for a 2:2 equivalent)
- English (IELTS)
- 6.0 overall, no element 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 Huddersfield.
- 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 courses.hud.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 Huddersfield before you apply. Global Educational Consultants is an independent consultancy.