Overview
Imperial College London offers a distinguished MEng in Computing (Artificial Intelligence and Machine Learning), recognised for its rigorous academic standards and cutting-edge research. This programme is designed to immerse students in the world of computing, with a particular emphasis on artificial intelligence and machine learning technologies. The course spans four years, commencing in October 2025, and is delivered in a full-time format at the South Kensington campus.
Why Computing (Artificial Intelligence and Machine Learning) at Imperial?
Ranked among the top universities globally, Imperial College London is renowned for its commitment to innovation and excellence in engineering and technology. The Department of Computing boasts state-of-the-art facilities and strong industry partnerships, providing students with numerous opportunities for collaboration and networking. The programme's curriculum is continually updated to reflect the latest advancements in technology, ensuring that graduates are well-prepared for the challenges of the modern workforce.Tuition Fee Breakdown
The tuition fees for the MEng in Computing (Artificial Intelligence and Machine Learning) are as follows:Home students: £9,535 per yearInternational students: £43,300 per yearVisit the Fees and Funding section for a breakdown in your local currency.Syllabus
The MEng programme is structured to provide a comprehensive understanding of computing principles, with a focus on artificial intelligence and machine learning. The curriculum consists of core modules and optional modules across four years:Year 1:Introduction to Computer SystemsIntroduction to DatabasesIntroduction to Computer ArchitectureComputing Practical 1Discrete Mathematics, Logic and ReasoningGraphs and AlgorithmsCalculusLinear AlgebraYear 2:Algorithm Design and AnalysisSoftware Engineering DesignModels of ComputationOperating SystemsNetworks and CommunicationsCompilersProbability and StatisticsComputing Practical 2Computing Group ProjectYear 3:Industrial Placement (First Part)I-ExploreOptional modules including Computer Vision, Introduction to Machine Learning, and more.Year 4:Individual ProjectIndustrial Placement (Second Part)Advanced optional modules such as Deep Learning, Natural Language Processing, and more.Careers with Computing (Artificial Intelligence and Machine Learning)
Graduates of the MEng programme are well-prepared for various career paths in technology and engineering. Many alumni have secured positions in leading companies across sectors such as management consultancy, banking, finance, and gaming. The strong emphasis on practical experience, including an industrial placement, equips students with the skills and knowledge needed to thrive in a competitive job market. With a high percentage of graduates in skilled employment or further study, the programme is a solid foundation for a successful career.Programme Structure
Courses include:
- Algorithm Design and Analysis
- Software Engineering Design
- Models of Computation
- Operating Systems
- Networks and Communications
- Compilers
- Probability and Statistics
- Computing Practical
- Computing Group Project
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Computer Sciences Artificial Intelligence Machine Learning View 34 other Bachelors in Machine Learning in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Other requirements
General requirements
A*A*A – A*AAATo include:
- A* in Mathematics
- A*, A in two further subjects or AAA in three further subjects, with Further Mathematics preferred.
- Computer Science
- Physics
- Further Mathematics
- Ancient Language, Biology, Chemistry, Economics, Electronics, English Literature, History, Languages, Law, Philosophy, Politics, Psychology
- 7 in Mathematics at higher level
- 7 in another relevant subject at higher level
- Preferred Mathematics syllabus: The Mathematics Analysis and Approaches or the Applications and Interpretation syllabi will be accepted at higher level.
Tuition Fees
-
International Applies to you
Applies to youNon-residents45500 GBP / year≈ 45500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents9535 GBP / year≈ 9535 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Computing (Artificial Intelligence and Machine Learning).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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