Your qualification fit
Bachelor's degree (course pages typically ask for a 2:2 equivalent)
Check my qualifications →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.
Check your fitMatch your level, budget, intake and preferences.
Use course matcher →Plan the full costTuition pre-filled, with GBP and indicative LKR totals.
Open budget planner →Funding informationThis university has scholarship information recorded.
Explore funding →Sri Lankan student planning
Four checks before you shortlist this course.
Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
IELTS or an alternative
6.0 overall, no element below 5.5
See English options →Scholarship possibilities
Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
Check funding →Beyond the tuition fee
Plan for tuition, visa fee, Immigration Health Surcharge, required maintenance funds, travel and your first accommodation costs.
Calculate my UK budget →Free preliminary check
Could this course fit your profile?
Answer four quick questions. Nothing is submitted or stored until you choose to contact GEC.
This tool is an early planning guide, not an offer, admissions decision or visa assessment. The university decides admission after reviewing your complete application.
Scholarship information
Potential funding at University of Huddersfield
Automatic merit scholarships for international students: up to £4,000 per year for undergraduates (£4,000 for AAB A-level equivalent, £2,000 for meeting general entry requirements) and up to £4,000 for taught postgraduates (£4,000 for First-class equivalent, £2,000 otherwise).
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 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.
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
- Programming and computational problem-solving
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
Check the official curriculum.
We could not reliably extract stable course contents from the public course page. Use the official curriculum link below rather than relying on an invented or outdated list.
Continue to the university curriculum
Review the current compulsory and optional modules for your intended intake before applying.
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
Support, clearly agreed.
- 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.
Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.
Similar courses at other universities
Course information checked October 2026 from the official course page on courses.hud.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 University of Huddersfield before you apply. Global Educational Consultants is an independent consultancy.