Your qualification fit
Honours degree at 2:2 or above in a numerate discipline (e.g. computing, engineering, IT, mathematics, physics, economics), or international equivalent
Check my qualifications →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.
Check your fitMatch your level, budget, intake and preferences.
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Open budget planner →Funding informationThis university has scholarship information recorded.
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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
6.5 overall, no component 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.
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Scholarship information
Potential funding at University of Worcester
International merit scholarships are awarded automatically: undergraduates get £1,000–£3,000 per year depending on grades (112–144 UCAS points or equivalent), and postgraduates get £2,000 (2:2 equivalent) or £3,000 (2:1 or First equivalent) per year. A £500 early payment discount can be added on top.
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 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.
This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. 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
- Data preparation, exploration and visualisation
- Statistical modelling and machine-learning methods
- Turning complex evidence into useful decisions
- Machine learning and intelligent systems
Skills development
Capabilities you can build
- Python or analytical programming
- Statistical reasoning
- Data visualisation
- Model evaluation and communication
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 who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. 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:
- Data scientist
- Data analyst
- Business intelligence analyst
- Machine-learning or analytics specialist
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
- 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
Support, clearly agreed.
- 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.
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 worcester.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 Worcester before you apply. Global Educational Consultants is an independent consultancy.