President's PhD Scholarships
Imperial College London · Postgraduate
- Available to all international students
- For postgraduate study
- Open to your course

The MRes Artificial Intelligence and Machine Learning at Imperial College London is a postgraduate programme designed for postgraduate students passionate about designing solutions for real-world challenges. Based in Kensington and Chelsea, England, this Russell Group university offers a research-led approach to learning, with a 1-year full-time structure. Gain research and innovation skills for developing novel artificial intelligence (AI) on this Master's course. You'll advance your knowledge of AI and machine learning through lectures, group work and laboratory exercises and put your ideas into practice on a research project. The individual, supervised project gives you an opportunity to explore a research area of your interest in-depth and learn to use different AI and machine learning (ML) approaches. Home/uk fees are £12,858 per year, and a minimum IELTS score of 6.5 is required for admission. Graduates from this programme benefit from strong career prospects, with 90% student satisfaction rating, a median graduate salary of £65,000 within three years, and a 95% continuation rate.
| Postgraduate Requirement | First Class |
| Test | Overall | L | R | W | S |
|---|---|---|---|---|---|
| IELTS Academic | 6.5 | 6 | 6 | 6 | 6 |
L = Listening, R = Reading, W = Writing, S = Speaking
International Student Fee
£23,700
per year
Home Student Fee
£12,858
regulated fee
Scholarships available for eligible students
Fees shown are for current entry. Fees may increase annually in line with inflation.
Salary data is not yet available for this course.
Graduate employment outcomes are sourced directly from Discover Uni for this specific course and provider. For full details, visit Discover Uni at Discover Uni.
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Imperial College London · Postgraduate

Imperial College London offers Artificial Intelligence and Machine Learning as part of its comprehensive programme offerings.
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