Your qualification fit
Completed Special/Hons/Professional degree (normally four years) or international degree (normally three years) from a recognised institution with minimum Grade B, 55%, 3.0 CGPA or 2:2 classification
Check my qualifications →London Metropolitan University · London
MSc Artificial Intelligence
Develops knowledge of AI methods such as machine learning and intelligent systems alongside practical development skills. Intended for graduates from computing, data science or engineering backgrounds.
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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, 5.5 in each component (standard requirement)
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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 London Metropolitan University
International Bright Futures Scholarship: £5,000 tuition fee reduction applied automatically to eligible international fee-paying students; a 5% early payment discount and a 20% alumni discount on postgraduate study are also offered.
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
Develops knowledge of AI methods such as machine learning and intelligent systems alongside practical development skills. Intended for graduates from computing, data science or engineering backgrounds.
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
Published course content for this programme.
7 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.
- 01AI Vision and Deep LearningPublished course content
- 02Advanced AI TechnologiesPublished course content
- 03Artificial IntelligencePublished course content
- 04Cloud Computing and the Internet of ThingsPublished course content
- 05Data Warehousing and Big DataPublished course content
- 06MSc ProjectPublished course content
- 07Machine LearningPublished course content
Entry requirements
Can I apply?
- Academic
- 2:2 UK degree (or equivalent) in computer or data science, software or network engineering, computing, ICT or a related subject
- Sri Lankan qualifications
- Completed Special/Hons/Professional degree (normally four years) or international degree (normally three years) from a recognised institution with minimum Grade B, 55%, 3.0 CGPA or 2:2 classification
- English (IELTS)
- 6.0 overall, 5.5 in each component (standard requirement)
- English alternatives
- Sri Lankan A Level English Language minimum grade A accepted (for courses requiring IELTS 6.0+); SELT normally required otherwise. Maths (where needed): GCE O-level Mathematics grade C / 50%+
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How we help
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- We check your eligibility and documents.
- We prepare and submit your application to London Metropolitan University.
- 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.
More Data Science & AI courses at London Metropolitan University
- MSc Data AnalyticsMaster's · 1 year · £20,000/yr
- BSc (Hons) Data ScienceUndergraduate · 3 years · £19,500/yr
Similar courses at other universities
Course information checked October 2026 from the official course page on londonmet.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 London Metropolitan University before you apply. Global Educational Consultants is an independent consultancy.