A specialist MEng, G700
Imperial says students specialise in artificial intelligence and knowledge engineering, as well as machine learning and models of complex cognitive and social behaviours.
Undergraduate · Imperial Computing AI and ML
Imperial teaches Computing through two MEng routes that share a department and an entry standard: a general programme with a wide choice of modules, and this course, which specialises in artificial intelligence, knowledge engineering and machine learning. The entry rules read the same, so the decision is not about being good enough for one rather than the other. It is whether you already know you want the specialism, or would rather choose as you go.
Official information · last verified for 2027 entry
Taken from Imperial's Computing (Artificial Intelligence and Machine Learning) MEng course page and read on 31 October 2026. For a normal 2028-entry application, made in 2027, every requirement below is last verified for the previous cycle and may change; Imperial's 2028-entry requirements and dates are awaiting publication.
Imperial says students specialise in artificial intelligence and knowledge engineering, as well as machine learning and models of complex cognitive and social behaviours.
Imperial describes the general Computing MEng as a programme with a wide range of module choices as students progress.
The typical offer is A*A*A*, and typical offers will not include STEP. The IB standard is 41 points with 7 in Mathematics at Higher Level.
Imperial says applicants must sit the Test of Mathematics for University Admissions as part of the application.
A placement ends the third year, and the fourth year reaches Master's level with a substantial individual project.
Official sources
Read on 31 October 2026 on Imperial's Computing (Artificial Intelligence and Machine Learning) MEng course page, which describes 2027 entry. Imperial's Department of Computing pages, the full module descriptions, the fees and the 2028-entry values were not read and are not stated.
What differs
Imperial's two course pages describe the same department and the same entry standard, and both include an industrial placement and a final-year individual project. What differs is the shape of the modules. The AI and machine learning course lists Machine Learning among its second-year core modules and Mathematics for Machine Learning and Reinforcement Learning among its fourth-year core modules, where the general course describes a wide range of choices. The page does not say a student on one route cannot study the other's subjects.
Which course?
Because the admission rules match, the choice rests on what you want from the four years.
you already know that artificial intelligence and machine learning are what you want, and want them built into the core of the course.
you want to explore networks, systems, security or theory before deciding. Avandy's Imperial Computing guide covers that route.
Both are four-year MEng courses with a placement, and both need A* in Mathematics.
Entry rules
The A-level range is A*A*A to A*AAA, with A* in Mathematics and Further Mathematics preferred; the typical offer is A*A*A*. The IB standard is 41 points with 7 in Mathematics at Higher Level and 7 in another relevant subject. The TMUA is compulsory. This page states no test scores.
A decision framework
This is Avandy's own framework, not Imperial's.
If it is not, the general route keeps more options open.
The course lists mathematics for machine learning among the final-year core modules.
It is a compulsory part of the application for either computing route.
Planning for 2028 entry
Applying for 2028 entry means applying in 2027, under rules Imperial has not yet published for that cycle. Each item below carries one of two labels. Last verified for 2027 entry means Imperial published it for the previous cycle and it may change. Awaiting publication for 2028 entry means Imperial has not yet published it.
These are the best guide to what to prepare. Imperial has not confirmed them for 2028 entry.
Check Imperial's course page for the 2028-entry values when they appear.
Decide whether the AI and machine learning specialism is settled, and start preparing for the TMUA.
Support
Avandy provides independent academic and admissions support. It is not affiliated with Imperial College London or any of its colleges or departments. Preparation sits within the Avandy Trinity Advisory Model: a Strategic Admissions Consultant, a PhD-level Academic Mentor and a Subject-specific Tutor, working to the actual requirements of each course. Support here means course-fit advice, subject mentoring and ethical preparation; Avandy gives no scores or probabilities and does not supply interview or test questions. No outcome is promised.
Questions
The general course offers a wide range of module choices; this course specialises in artificial intelligence and machine learning, with machine learning modules in its core.
Both course pages show the same A-level range and IB standard in the wording read for 2027 entry.
Yes. Imperial says applicants must sit the Test of Mathematics for University Admissions.
Yes. Imperial describes an industrial placement at the end of the third year.
No. This page records Imperial's wording for 2027 entry and states no scores or probabilities.
No. They are Imperial's wording for the 2027 application cycle. Check the course page again when Imperial publishes its 2028-entry requirements.
Students and families
Tell us about the student's curriculum, their mathematics, how committed they are to artificial intelligence and machine learning, and whether the general Computing course would suit them better, the universities on the list, and the intended year of entry. A senior adviser will review the academic profile before recommending how to prepare.