Imperial College of Science
Computing (Artificial Intelligence and Machine Learning) MEng (Hons)
Imperial College of Science

Key Course Facts

Student Reviews

Below you can see course specific reviews for 25 graduates of Computing (Artificial Intelligence and Machine Learning) MEng (Hons) at Imperial College of Science for each of the survey questions in comparison to the average for all UK degree courses in Computer Science.

Overall student satisfaction
72 /100
25 total respondents
The NSS is commissioned by the Office for Students

Salary

Salary of Graduates in Computer Science

Important: Salary data below is not course specific, but contains data of all students of Computer Science at the university. Due to data collection methodology, salary data is mainly based on data related to undergraduate students.

  15 months after graduation 3 years after graduation 5 years after graduation
Median salary £64000 £52000 £70000
25-75 percentile range £54000 - £80000 £39500 - £74500 £51500 - £90000


Salary of all UK Graduates of Computer Science

  15 months after graduation 3 years after graduation 5 years after graduation
Median salary £29821 £26104 £30658
25-75 percentile range £24771 - £35770 £19342 - £34316 £22615 - £42400

Course Description

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.

The high level of shared content between our courses for the first two years means that transfer to a different Computing course within the Department is usually possible during this time. If you are an international student, transferring to a different course could have an impact on your visa, but our International Student Support Team is here to help and advise you.

Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.

Accredited by the Institution of Engineering and Technology on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.

Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.

Jobs & Career Perspectives

15 months after graduation, graduates of this course were asked about what they do and, if they are working, about their current job and their perspectives.

Current jobs

Required skill level of job after 15 months

Jobs of graduates of this course (15 months after graduation)

Example below based on all graduates of Computing (Artificial Intelligence and Machine Learning) MEng (Hons) at Imperial College of Science

90% Leisure, travel and related personal service occupations
10% Business and Financial Project Management Professionals

Entry Requirements / Admissions

UCAS Tariff of Accepted Students for this course

English language requirements

test Grade
Cambridge English Advanced
IELTS (Academic) 6.5
PTE Academic 62
TOEFL (iBT) 92
Cambridge English Advanced
IELTS (Academic) 6.5
PTE Academic 62
TOEFL (iBT) 92
Get advice on which foundation courses are best for you to still study Computing (Artificial Intelligence and Machine Learning), MEng (Hons), if you do not meet the minimum requirements in terms of UCAS score, A levels, or English language requirements.

Costs

Tuition Fees Computing (Artificial Intelligence and Machine Learning) MEng (Hons)

England UK £9250 year 1
Northern Ireland £9250 year 1
Scotland £9250 year 1
Wales £9250 year 1
Channel Islands £9250 year 1
Ireland £9250 year 1
EU £40940 year 1
International £40940 year 1

Additional fee information

**

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Average student cost of living in London

Rent £518
Water, gas electricity, internet (at home) £50
Supermarket shopping £81
Clothing £35
Eating out £33
Alcohol £27
Takeaways / food deliveries £30
Going out / entertainment (excl.alcohol, food) £24
Holidays and weekend trips £78
Transport within city £17
Self-care / sports £20
Stationary / books £13
Mobile phone / internet £13
Cable TV / streaming £7
Insurance £51
Other £95
  
Average student cost of living £1092

London costs approx 34% more than average, mainly due to rent being 67% higher than average of other cities. For students staying in student halls, costs of water, gas, electricity, wifi are generally included in the rental. Students in smaller cities where accommodation is in walking/biking distance transport costs tend to be significantly smaller.

University Rankings

#3
University Guru Meta Ranking
of Imperial College of Science

among 379 universities in England UK
based on 38 different rankings

Positions of Imperial College of Science in top UK and global rankings.

Rankings of Imperial College of Science in related subject specific rankings.

Computer Science

    • #3 
    • #8 
    Computer Science
    THE World University Rankings by Subject
    [Published 19 October, 2023]
    • #1 
    • #67 
    Computer Science
    NTU Rankings by Subject
    [Published 01 September, 2024]

See all 38 university rankings of Imperial College of Science

About Imperial College of Science

List of 58 Bachelor and Master Courses from Imperial College of Science - Course Catalogue

Student composition of Imperial College of Science

undergraduates:
11625
postgraduates:
9255
Total:
20880

Where is this programme taught

Main Site
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FAQ about Computing (Artificial Intelligence and Machine Learning) MEng (Hons) Imperial College of Science

  • Tuition fees for this programme are 9250 per year for UK students. In addition to the tuition fees you should also take into consideration the average monthly cost of living for students in the UK.

  • The median salary of graduates of this course was £64000 15 months after graduation, £52000 3 years after graduation and £70000 after graduation.

  • Leisure, travel and related personal service occupations (90%), Business and Financial Project Management Professionals (10%),

  • 25 graduates rated the course 72. This means that 72% of graduates indicated that they were satisfied or very satisfied with the course. See detailed ratings above and how these compare to the averages at other universities.

  • Computing (Artificial Intelligence and Machine Learning) MEng (Hons) is taught on campus and cannot be taken online at Imperial College of Science.

  • It is pretty easy to get accepted based on UCAS tariff scores (lowest 100% Percentile among all Artificial Intelligence students in the UK). Other criteria may have been valued for acceptance apart from UCAS tariff scores.