Your qualification fit
4-year bachelor's degree awarded by the Government of Sri Lanka with a final grade of 2:2 or above.
Check my qualifications →University of Greater Manchester · Bolton
MSc Artificial Intelligence
Covers the design, development and deployment of AI systems and the methods behind them, aimed at graduates seeking AI roles in sectors such as healthcare, finance and manufacturing.
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 band 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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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 Greater Manchester
Global Excellence Package (Sri Lanka eligible; self-funded students applying directly, not via an agent): £4,000 Gold (First/70%), £3,000 Silver (2:1/60%) or £2,000 Bronze tuition fee discount.
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
Covers the design, development and deployment of AI systems and the methods behind them, aimed at graduates seeking AI roles in sectors such as healthcare, finance and manufacturing.
This 12-month postgraduate route concentrates on corporate finance and investment decisions, financial markets, risk and valuation, quantitative analysis for business 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
- Corporate finance and investment decisions
- Financial markets, risk and valuation
- Quantitative analysis for business decisions
- Machine learning and intelligent systems
Skills development
Capabilities you can build
- Financial modelling
- Investment appraisal
- Risk analysis
- Data-informed decision-making
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 interested in how organisations and markets allocate money, value opportunities and manage financial risk. 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:
- Financial analyst
- Investment analyst
- Corporate finance associate
- Risk or treasury analyst
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
9 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
- 01Research MethodsPublished course content
- 02ProjectPublished course content
- 03Professional PracticePublished course content
- 04Applied Artificial IntelligencePublished course content
- 05Computer Vision and Deep LearningPublished course content
- 06NLP and GenAIPublished course content
- 07Data Analysis and VisualisationPublished course content
- 08Data Mining and Machine LearningPublished course content
- 09Learning ActivitiesPublished course content
Entry requirements
Can I apply?
- Academic
- Normally a 2:1 honours degree in a computing-related subject; a 2:2 is considered case by case.
- Sri Lankan qualifications
- 4-year bachelor's degree awarded by the Government of Sri Lanka with a final grade of 2:2 or above.
- English (IELTS)
- 6.0 overall, no band below 5.5
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How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to University of Greater Manchester.
- 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.
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Course information checked October 2026 from the official course page on greatermanchester.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 Greater Manchester before you apply. Global Educational Consultants is an independent consultancy.