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Master of Engineering (with Honours) - MEng (Hon)
Computing (Artificial Intelligence and Machine Learning)
Imperial College London
Entry requirements
Here's what you will need to get a place on the Computing (Artificial Intelligence and Machine Learning) course at Imperial College London.
Select a qualification to see required grades
T Level
You may also need to
Attend an interview
Tuition fees
| Location | Fees |
|---|---|
| England | £9,535 per year |
| Scotland | £9,535 per year |
| Wales | £9,535 per year |
| Northern Ireland | £9,535 per year |
| Channel Islands | £9,535 per year |
| Republic of Ireland | £9,535 per year |
| EU | £43,300 per year |
| International | £43,300 per year |
Course summary
What this course is about
UCAS code: G700
Here's what Imperial College London says about its Computing (Artificial Intelligence and Machine Learning) course.
Computing is a creative and wide-ranging subject that focuses on using sound underlying principles and logical thinking to design and build systems that really work.
You'll specialise in artificial intelligence and knowledge engineering, as well as machine learning and the development of computational and engineering models of complex cognitive and social behaviours.
In this course, you will learn how modern computer and communications systems function, and how they can be used and adapted to build the next generation of computing applications.
The core of this programme has been designed to give you an overview of computing. This includes an understanding of basic concepts and principles, the ability to appreciate and to adapt to changes in technology, and practical experience in applied computing.
A special emphasis of your studies will be on the fundamental principles underlying computing and on the engineering considerations involved in computing system design, implementation and usage. You will be introduced to computing architecture and hardware, and the software used to exploit them.
This course will also equip you with a strong background in discrete mathematics (logic, sets, relations and grammar), classical mathematics and statistics relevant to applications engineering and management.
Throughout the programme, you will attend laboratory and problem-solving classes, as well as completing project and design work. As the course progresses, you will study advanced techniques and modules; many of which draw on current research taking place in the Department.
At the end of your third year, you will gain valuable skills and experience by completing an industrial placement. Your study reaches Master's level in the final year, with a wide choice of optional modules and a substantial individual project on a subject of your choice.
Course details
Qualification
Master of Engineering (with Honours) - MEng (Hon)
Department
Computing
Location
Main Site | London
Duration
4 Years
Study mode
Full-time
Subjects
• Artificial intelligence
Start date
September 27, 2025
Application deadline
January 29, 2025
The modules you will study
We recommend reviewing our course page for the latest information regarding the curriculum (including core and optional modules) and course structure, as this information may be subject to periodic change.
Imperial College London reviews
Showing 96 reviews
1st year student
SOOOO MANY CLUBS. Theyu2019re all free so many things to do and try out.
1 year ago
1st year student
London is alive thereu2019s lots to do and see which is nice! But it is all expensive!
1 year ago
1st year student
Iu2019m not sure on the support as I havenu2019t applied and looked but there is options. It is very expensive for the accommodation. The shops you have to be careful on what you buy a week. But that is London
1 year ago
1st year student
Each course has a wellbeing officer and mine is so nice! Thereu2019s a room to sleep in if needed as I have a health issue. Teachers are happy to explain things during a tutorial (where you can ask teacher anything and work with course mates)
1 year ago
1st year student
Library is very clean, only uni students can get it. The only problem is thereu2019s sometimes mice. My accommodation has 25 in a flat and the kitchen is disgusting! Iu2019m paying u00a3280 per week! Thereu2019s mould and Iu2019ve tried telling people to clean but I try and clean but it always gets ...
1 year ago
1st year student
Lecturers are generally really good. Some a lot better than the others. The structure is very good. I know whatu2019s next lecture and what to revise/write for next lecture. The only problem is some modules arenu2019t clear so I find YouTube a lot more helpful. You have to do a lot of your own work
1 year ago
National Student Survey (NSS) scores
The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.
Here you can see ratings from Imperial College London students who took the Computing (Artificial Intelligence and Machine Learning) course - or another course in the same subject area.
Select an option to see a detailed breakdown
Teaching on my course
89%
high
Teaching on my course
89%
high
How often does your course challenge you to achieve your best work?
92%
high
How good are teaching staff at explaining things?
92%
high
How often do teaching staff make the subject engaging?
74%
med
How often is the course intellectually stimulating?
96%
high
Learning opportunities
88%
high
Learning opportunities
88%
high
To what extent have you had the chance to bring together information and ideas from different topics?
89%
high
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
90%
high
How well has your course developed your knowledge and skills that you think you will need for your future?
92%
high
To what extent have you had the chance to explore ideas and concepts in depth?
93%
high
To what extent does your course have the right balance of directed and independent study?
76%
med
Assessment and feedback
65%
low
Assessment and feedback
65%
low
How well have assessments allowed you to demonstrate what you have learned?
80%
med
How fair has the marking and assessment been on your course?
80%
med
How often does feedback help you to improve your work?
61%
med
How often have you received assessment feedback on time?
53%
low
How clear were the marking criteria used to assess your work?
53%
low
Academic support
83%
med
Academic support
83%
med
How easy was it to contact teaching staff when you needed to?
85%
med
How well have teaching staff supported your learning?
80%
med
Organisation and management
88%
high
Organisation and management
88%
high
How well were any changes to teaching on your course communicated?
85%
high
How well organised is your course?
90%
high
Learning resources
86%
med
Learning resources
86%
med
How well have the IT resources and facilities supported your learning?
87%
med
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
81%
med
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
90%
med
Student voice
72%
med
Student voice
72%
med
How clear is it that students' feedback on the course is acted on?
66%
med
To what extent do you get the right opportunities to give feedback on your course?
78%
med
To what extent are students' opinions about the course valued by staff?
72%
med
How well does the students' union (association or guild) represent students' academic interests?
62%
low
Other NSS questions
Other NSS questions
During your studies, how free did you feel to express your ideas, opinions, and beliefs?
89%
med
How well communicated was information about your university/college's mental wellbeing support services?
85%
med
Student information
See who's studying at Imperial College London. These students are taking Computing (Artificial Intelligence and Machine Learning) or another course from the same subject area.
| Most popular A-levels studied | ||||||
|---|---|---|---|---|---|---|
| Subject | Grade | |||||
| Mathematics | A* | |||||
| Further Mathematics | A* | |||||
| Physics | A* | |||||
| Computer Science | A* | |||||
| Chemistry | A* | |||||
Graduate prospects
What graduates do next
We have no information about graduates who took Computing (Artificial Intelligence and Machine Learning) at Imperial College London.
Earnings after graduation
Earnings from Imperial College London graduates who took Computing (Artificial Intelligence and Machine Learning) - or another course in the same subject area.
Earnings
£60.2k
First year after graduation
£70.8k
Third year after graduation
£86.1k
Fifth year after graduation
Shown here are the median earnings of graduates at one, three and five years after they completed a course related to Computing (Artificial Intelligence and Machine Learning).
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree
Discussions
Discussions
Students are talking about Imperial College London on The Student Room.
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