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Master of Computing (with Honours) - MCompu (H)

Computer Science (Artificial Intelligence)

University of Sheffield

(4.3)
1200 reviews

Entry requirements

Here's what you will need to get a place on the Computer Science (Artificial Intelligence) course at University of Sheffield.

Select a qualification to see required grades

A level

A,A,A

A*AA including Maths; AAA including Maths and Computer Science

Most popular A-levels studied

The Computer Science (Artificial Intelligence) course at University of Sheffield features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.

Computer systems engineering
Artificial intelligence
Computer science
SubjectGrade
MathematicsA
Computer ScienceA
PhysicsA
Further MathematicsA
ChemistryA
SubjectGrade
MathematicsA
Computer ScienceA
PhysicsA
Further MathematicsB
ChemistryA
SubjectGrade
MathematicsA
Computer ScienceA
PhysicsA
Further MathematicsA
EconomicsA
Source: HESA

Course summary

What this course is about

UCAS code: G700

Here's what University of Sheffield says about its Computer Science (Artificial Intelligence) course.

Our four year degrees are a one year extension to our BSc degrees which allows further specialisation. In your fourth year you will develop research and analytical skills. You will have the opportunity to contribute to a publication of your research findings and will also take part in a conference style presentation where you present your work.

Computer science with AI is the study of machine intelligence, including bio-inspired algorithms, their relationship to living intelligence and the nature of consciousness itself.

Position yourself at the leading edge of humanity’s exploration of what it means to be alive, and the creation of artificial intelligence.

Beginning with the same foundation as our Computer Science MComp, the degree gives you a grounding in the fundamentals, before encouraging you to specialise in speech recognition, language processing or robotics.

Develop AI applications in a team project for an external client in your second year, in your third year specialist modules which cover subjects such as speech and text processing, machine learning and bio-inspired robotics give you scope for creative and intellectual exploration.

In your final year you'll continue with this specialised AI theme, you'll get the chance to work alongside our research staff as part of a group research project. And you’ll have the option to participate in Genesys Solutions – our student-led software development organisation – throughout your final year, solving customer’s problems, using agile software engineering and lean startup practice.

You'll not only graduate with technical skills of a computer scientist, but also a solid team player, effective communicator and system designer.

Why study this course?

  • Research collaboration - our Darwin module lets you engage in a substantial piece of group research, culminating with the possible production of a paper, as well as a final conference-style presentation.

  • Professional skills and group work - professional, communication and presentation skills help to create more employable computer scientists and software engineers.

  • Specialist teaching facilities - you'll have access to the latest hardware, software and operating systems, plus high-spec graphics computers and a robotics arena in our dedicated computer labs in The Diamond.

  • Support throughout your degree - our dedicated student welfare advisor is available to provide support, for example, if you are feeling down, overwhelmed or struggling to adjust to student life.

Source: University of Sheffield

Course details

Qualification

Master of Computing (with Honours) - MCompu (H)

Department

School of Computer Science

Location

Main Site | Sheffield

Duration

4 Years

Study mode

Full-time

Subjects

• Computer systems engineering

• Artificial intelligence

• Computer science

Start date

28 September 2026

Application deadline

14 January 2026

University of Sheffield student reviews

(4.3)
Based on 1200 reviews from University of Sheffield's students and alumni
5 star
59%
4 star
25%
3 star
9%
2 star
4%
1 star
3%
All reviews

Showing 1160 reviews

Graduate

1 year ago

I was in my first year of university when the coronavirus pandemic took over. The economics

(5)
Course

Graduate

1 year ago

I cannot begin to explain how the University of Sheffield changed my lifeu2026 Having come from a very much working class background in one of the most deprived areas of the country, I wasnu2019t sure what to expect from University. Despite some serious reluctance, I moved into my first year accommo...

(5)
Overall

Graduate

1 year ago

It can provides a lot of assistance to students. Especially when you feel boring.

(5)
Student Union

Graduate

1 year ago

Good. There are too many uni activities to join in. rn

(5)
University life

Graduate

1 year ago

Sheffield is a financial friendly city to students. Uos have lots of scholarship programs.

(5)
Finance

Graduate

1 year ago

Five stars: Excellent

(5)
Support

National Student Survey (NSS) scores at University of Sheffield

The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.

The Computer Science (Artificial Intelligence) course at University of Sheffield features content from more than one subject area. Using the options below, you can see ratings from students who took courses in each of these subject areas at this uni

Electrical and electronic engineering
Computer science
Artificial intelligence

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

86%

med

How good are teaching staff at explaining things?

95%

high

How often do teaching staff make the subject engaging?

77%

med

How often is the course intellectually stimulating?

89%

med

To what extent have you had the chance to bring together information and ideas from different topics?

81%

med

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

89%

med

How well has your course developed your knowledge and skills that you think you will need for your future?

88%

med

To what extent have you had the chance to explore ideas and concepts in depth?

82%

med

To what extent does your course have the right balance of directed and independent study?

85%

med

How well have assessments allowed you to demonstrate what you have learned?

82%

med

How fair has the marking and assessment been on your course?

82%

med

How often does feedback help you to improve your work?

78%

med

How often have you received assessment feedback on time?

81%

med

How clear were the marking criteria used to assess your work?

79%

med

How easy was it to contact teaching staff when you needed to?

91%

med

How well have teaching staff supported your learning?

89%

med

How well were any changes to teaching on your course communicated?

85%

high

How well organised is your course?

81%

med

How well have the IT resources and facilities supported your learning?

88%

med

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

91%

med

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

87%

med

How clear is it that students' feedback on the course is acted on?

73%

med

To what extent do you get the right opportunities to give feedback on your course?

86%

med

To what extent are students' opinions about the course valued by staff?

80%

med

How well does the students' union (association or guild) represent students' academic interests?

84%

med

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?

90%

med

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

85%

med

How good are teaching staff at explaining things?

94%

high

How often do teaching staff make the subject engaging?

71%

med

How often is the course intellectually stimulating?

88%

med

To what extent have you had the chance to bring together information and ideas from different topics?

78%

med

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

83%

med

How well has your course developed your knowledge and skills that you think you will need for your future?

76%

med

To what extent have you had the chance to explore ideas and concepts in depth?

83%

med

To what extent does your course have the right balance of directed and independent study?

78%

med

How well have assessments allowed you to demonstrate what you have learned?

82%

med

How fair has the marking and assessment been on your course?

80%

med

How often does feedback help you to improve your work?

62%

med

How often have you received assessment feedback on time?

76%

med

How clear were the marking criteria used to assess your work?

74%

med

How easy was it to contact teaching staff when you needed to?

93%

high

How well have teaching staff supported your learning?

85%

med

How well were any changes to teaching on your course communicated?

86%

high

How well organised is your course?

82%

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?

90%

high

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

88%

med

How clear is it that students' feedback on the course is acted on?

71%

med

To what extent do you get the right opportunities to give feedback on your course?

84%

med

To what extent are students' opinions about the course valued by staff?

84%

high

How well does the students' union (association or guild) represent students' academic interests?

89%

high

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

87%

med

How well communicated was information about your university/college's mental wellbeing support services?

90%

high

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

92%

med

How good are teaching staff at explaining things?

96%

high

How often do teaching staff make the subject engaging?

81%

med

How often is the course intellectually stimulating?

88%

med

To what extent have you had the chance to bring together information and ideas from different topics?

85%

med

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

96%

high

How well has your course developed your knowledge and skills that you think you will need for your future?

85%

med

To what extent have you had the chance to explore ideas and concepts in depth?

84%

med

To what extent does your course have the right balance of directed and independent study?

96%

high

How well have assessments allowed you to demonstrate what you have learned?

96%

high

How fair has the marking and assessment been on your course?

81%

low

How often does feedback help you to improve your work?

81%

high

How often have you received assessment feedback on time?

81%

med

How clear were the marking criteria used to assess your work?

81%

med

How easy was it to contact teaching staff when you needed to?

92%

high

How well have teaching staff supported your learning?

92%

med

How well were any changes to teaching on your course communicated?

92%

high

How well organised is your course?

88%

high

How well have the IT resources and facilities supported your learning?

96%

high

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

92%

med

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

84%

low

How clear is it that students' feedback on the course is acted on?

69%

med

To what extent do you get the right opportunities to give feedback on your course?

92%

high

To what extent are students' opinions about the course valued by staff?

88%

med

How well does the students' union (association or guild) represent students' academic interests?

96%

high

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

88%

med

How well communicated was information about your university/college's mental wellbeing support services?

92%

med

Student information

The Computer Science (Artificial Intelligence) course at University of Sheffield features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.

Computer systems engineering
Artificial intelligence
Computer science
Mode of study
Full-time97%Part-time3%
Gender ratio
Female19%Male81%Other1%
Where students come from
International38%UK62%
Student performance
2:1 or above75%
Number of students925
Mode of study
Full-time94%Part-time6%
Gender ratio
Female24%Male76%
Where students come from
International50%UK50%
Student performance
2:1 or above70%
Number of students205
Mode of study
Full-time97%Part-time3%
Gender ratio
Female21%Male79%Other1%
Where students come from
International36%UK64%
Student performance
2:1 or above77%
Number of students855
Source: HESA

Graduate prospects

What graduates do next

The Computer Science (Artificial Intelligence) course includes content from more than one subject area. Choose an option below for information about University of Sheffield graduates across each of those subject areas.

Computing
Electrical and electronic engineering
Computer science

Graduate statistics

95%

In a job where degree was essential or beneficial

85%

In work, study or other activity

90%

Say it fits with future plans

85%

Are utilising studies

Top job areas

85%

Information Technology Professionals

5%

Science, engineering and technology associate professionals

Graduate statistics

95%

In a job where degree was essential or beneficial

90%

In work, study or other activity

90%

Say it fits with future plans

65%

Are utilising studies

Top job areas

50%

Information Technology Professionals

30%

Engineering professionals

5%

Business, Research and Administrative Professionals

5%

Elementary occupations

Graduate statistics

90%

In a job where degree was essential or beneficial

85%

In work, study or other activity

90%

Say it fits with future plans

80%

Are utilising studies

Top job areas

85%

Information Technology Professionals

5%

Elementary occupations

5%

Sales occupations

5%

Science, engineering and technology associate professionals

Graduate statistics percentages are determined 15 months after a student graduates

Earnings after graduation

The Computer Science (Artificial Intelligence) course includes content from more than one subject area. Choose an option below for University of Sheffield graduate earnings across each of those subject areas.

Engineering
Computing

Earnings

£30.7k

First year after graduation

£36.9k

Third year after graduation

£42.3k

Fifth year after graduation

Earnings

£35.4k

First year after graduation

£44.9k

Third year after graduation

£53.7k

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 Computer Science (Artificial Intelligence).

Source: LEO

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

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Explore more courses at University of Sheffield

University of Sheffield

Main Site | Sheffield

Computer Science (Artificial Intelligence)

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