Your qualification fit
Four-year Bachelor's degree with at least Lower Second Class Honours from a mainstream university; Upper Second Class is normally required for most courses.
Check my qualifications →Imperial College London · London
MSc Artificial Intelligence
Intensive training in programming and the foundations of AI for mathematically strong STEM graduates who are not computing specialists, with group and individual projects, some linked to industry.
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IELTS or an alternative
7.0 overall, 6.5 in each element (Imperial 'higher' level)
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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 Imperial College London
For 2027 entry Imperial is offering at least 300 Imperial Inspires scholarships worth £15,000 per year for international (Overseas-fee) students on undergraduate and selected postgraduate taught courses in Engineering, Natural Sciences, Medicine and the Business School.
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
Intensive training in programming and the foundations of AI for mathematically strong STEM graduates who are not computing specialists, with group and individual projects, some linked to industry.
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
Published course content for this programme.
30 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.
- 01Introduction to Machine LearningPublished course content
- 02Python ProgrammingPublished course content
- 03Software Engineering Group ProjectPublished course content
- 04Computer VisionPublished course content
- 05Reinforcement LearningPublished course content
- 06Computational OptimisationPublished course content
- 07Mathematics for Machine LearningPublished course content
- 08Formal Methods for Safe AIPublished course content
- 09Logic-Based LearningPublished course content
- 10Deep LearningPublished course content
- 11Probabilistic InferencePublished course content
- 12Machine Learning for ImagingPublished course content
- 13Natural Language ProcessingPublished course content
- 14Robot LearningPublished course content
- 15RoboticsPublished course content
- 16AI VenturesPublished course content
- 17Computational NeurodynamicsPublished course content
- 18Deep Graph-Based LearningPublished course content
- 19Human-Robot InteractionPublished course content
- 20Software Engineering for Machine Learning SystemsPublished course content
- 21Non-Euclidean Methods in Machine LearningPublished course content
- 22Introduction to Symbolic Artificial IntelligencePublished course content
- 23Ethics, Fairness, and Explanation in AIPublished course content
- 24Generative AIPublished course content
- 25Computational FinancePublished course content
- 26Principles of Distributed LedgersPublished course content
- 27Quantum ComputingPublished course content
- 28Statistical Information TheoryPublished course content
- 29TaughtPublished course content
- 30Teaching and learning methodsPublished course content
Entry requirements
Can I apply?
- Academic
- First-Class degree in Mathematics, Physics, Engineering, Economics or another subject with substantial mathematics
- Sri Lankan qualifications
- Four-year Bachelor's degree with at least Lower Second Class Honours from a mainstream university; Upper Second Class is normally required for most courses.
- English (IELTS)
- 7.0 overall, 6.5 in each element (Imperial 'higher' level)
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How we help
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- We check your eligibility and documents.
- We prepare and submit your application to Imperial College London.
- We help you meet any offer conditions and get your CAS.
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Course information checked October 2026 from the official course page on imperial.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 Imperial College London before you apply. Global Educational Consultants is an independent consultancy.