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Bachelor of Science (with Honours) - BSc (Hons)
Computer Science (Artificial Intelligence)
University of Sheffield
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
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 |
| International | £30,570 per year |
Course summary
What this course is about
UCAS code: GG74
Here's what University of Sheffield says about its Computer Science (Artificial Intelligence) course.
This course provides a core grounding in computer science with a focus on AI. You'll build the same solid foundation in core computer science as our main computer science degree and dive deep into a range of AI topics such as biologically inspired algorithms, machine learning, computer vision and robotics.
Join the forefront of humanity's journey into intelligent systems with our three-year Computer Science (Artificial Intelligence) BSc.
This course provides a strong foundation in computer science, equipping you with the essential skills in software engineering, programming, algorithms, and data structures.
This core knowledge will prepare you to delve into the captivating world of AI, where you will explore areas like machine learning, natural language processing and robotics.
As well as learning to program and think critically, you're encouraged to work in teams, develop your communication skills and think about the impact of your work in a real-world context. These are essential for a career in industry or research, and demonstrate the well-rounded education our programme will provide you.
You will not only graduate with technical skills of a computer scientist, but also a solid team player, effective communicator and system designer.
Core modules in years one and two will provide you with the foundations of computer science, while in the final year a range of optional modules will allow you to tailor your studies to your own interests.
On top of these specialised modules, the focus of your final year is a dissertation project, where you will have scope for creative and intellectual exploration through a year long individual project guided by one of lecturers.
Whether you're drawn to the complexities of speech recognition or intrigued by the applications of robotics, you can specialise in different themes of AI.
This course is accredited by the British Computer Society (BCS). It fully meets the requirements for Chartered Information Technology Professional (CITP) and partially meets the requirements for Chartered Engineer (CEng).
Why study this course?
-
Learn the fundamentals of AI: Study the core techniques and applications of AI, ranging from data-driven computing through to state-of-the-art speech and text processing.
-
Work for real clients: Working in a team to engineer a software system for a real client will give you experience of what it’s like in industry.
-
Specialist teaching and facilities: You'll have access to the latest hardware, software and operating systems, high-spec graphics computers and a robotics arena in our dedicated computer labs. Our lecturers are renowned computer scientists and their research shapes our teaching.
-
Professional skills and group work: Professional, communication and presentation skills help to create more employable computer scientists and software engineers. These are extremely valuable to companies, making you a well-rounded and sought-after candidate.
-
Flexible study options: It's possible to transfer between our courses. This provides an opportunity to understand which modules and areas of computer science spark your interest and flexibility to your education.
-
Support throughout your degree: Our dedicated student welfare advisor can provide support, for example, if you are feeling down, overwhelmed or struggling to adjust to student life.
Course details
Qualification
Bachelor of Science (with Honours) - BSc (Hons)
Department
School of Computer Science
Location
Main Site | Sheffield
Duration
3 Years
Study mode
Full-time
Subjects
• Artificial intelligence
• Computer science
Start date
September 29, 2025
Application deadline
January 29, 2025
University of Sheffield reviews
Showing 1160 reviews
Graduate
I was in my first year of university when the coronavirus pandemic took over. The economics
1 year ago
Graduate
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...
1 year ago
Graduate
It can provides a lot of assistance to students. Especially when you feel boring.
1 year ago
Graduate
Good. There are too many uni activities to join in. rn
1 year ago
Graduate
Sheffield is a financial friendly city to students. Uos have lots of scholarship programs.
1 year ago
Graduate
Five stars: Excellent
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.
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
Select an option to see a detailed breakdown
Teaching on my course
92%
high
Teaching on my course
92%
high
How often does your course challenge you to achieve your best work?
91%
high
How good are teaching staff at explaining things?
98%
high
How often do teaching staff make the subject engaging?
86%
high
How often is the course intellectually stimulating?
92%
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?
77%
med
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
93%
high
How well has your course developed your knowledge and skills that you think you will need for your future?
94%
high
To what extent have you had the chance to explore ideas and concepts in depth?
86%
high
To what extent does your course have the right balance of directed and independent study?
88%
high
Assessment and feedback
82%
med
Assessment and feedback
82%
med
How well have assessments allowed you to demonstrate what you have learned?
92%
high
How fair has the marking and assessment been on your course?
94%
high
How often does feedback help you to improve your work?
66%
med
How often have you received assessment feedback on time?
72%
med
How clear were the marking criteria used to assess your work?
86%
high
Academic support
91%
high
Academic support
91%
high
How easy was it to contact teaching staff when you needed to?
89%
med
How well have teaching staff supported your learning?
93%
high
Organisation and management
89%
high
Organisation and management
89%
high
How well were any changes to teaching on your course communicated?
93%
high
How well organised is your course?
86%
high
Learning resources
92%
high
Learning resources
92%
high
How well have the IT resources and facilities supported your learning?
95%
high
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
89%
med
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
93%
high
Student voice
81%
high
Student voice
81%
high
How clear is it that students' feedback on the course is acted on?
75%
high
To what extent do you get the right opportunities to give feedback on your course?
85%
med
To what extent are students' opinions about the course valued by staff?
83%
high
How well does the students' union (association or guild) represent students' academic interests?
89%
high
Other NSS questions
Other NSS questions
During your studies, how free did you feel to express your ideas, opinions, and beliefs?
90%
high
How well communicated was information about your university/college's mental wellbeing support services?
92%
high
Select an option to see a detailed breakdown
Teaching on my course
90%
high
Teaching on my course
90%
high
How often does your course challenge you to achieve your best work?
86%
med
How good are teaching staff at explaining things?
97%
high
How often do teaching staff make the subject engaging?
86%
high
How often is the course intellectually stimulating?
93%
high
Learning opportunities
90%
high
Learning opportunities
90%
high
To what extent have you had the chance to bring together information and ideas from different topics?
83%
med
How well does your course introduce subjects and skills in a way that builds on what you have already learned?
97%
high
How well has your course developed your knowledge and skills that you think you will need for your future?
93%
high
To what extent have you had the chance to explore ideas and concepts in depth?
90%
high
To what extent does your course have the right balance of directed and independent study?
90%
high
Assessment and feedback
77%
med
Assessment and feedback
77%
med
How well have assessments allowed you to demonstrate what you have learned?
93%
high
How fair has the marking and assessment been on your course?
86%
med
How often does feedback help you to improve your work?
59%
med
How often have you received assessment feedback on time?
69%
med
How clear were the marking criteria used to assess your work?
79%
high
Academic support
88%
high
Academic support
88%
high
How easy was it to contact teaching staff when you needed to?
83%
med
How well have teaching staff supported your learning?
93%
high
Organisation and management
88%
high
Organisation and management
88%
high
How well were any changes to teaching on your course communicated?
86%
med
How well organised is your course?
90%
high
Learning resources
92%
high
Learning resources
92%
high
How well have the IT resources and facilities supported your learning?
86%
med
How well have the library resources (e.g., books, online services and learning spaces) supported your learning?
97%
high
How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?
93%
med
Student voice
82%
med
Student voice
82%
med
How clear is it that students' feedback on the course is acted on?
79%
high
To what extent do you get the right opportunities to give feedback on your course?
93%
high
To what extent are students' opinions about the course valued by staff?
76%
med
How well does the students' union (association or guild) represent students' academic interests?
84%
high
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?
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.
| Most popular A-levels studied | ||||||
|---|---|---|---|---|---|---|
| Subject | Grade | |||||
| Mathematics | A | |||||
| Computer Science | A | |||||
| Physics | A | |||||
| Further Mathematics | B | |||||
| Chemistry | B | |||||
| Most popular A-levels studied | ||||||
|---|---|---|---|---|---|---|
| Subject | Grade | |||||
| Mathematics | A | |||||
| Computer Science | A | |||||
| Physics | B | |||||
| Further Mathematics | B | |||||
| Chemistry | B | |||||
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.
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
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
Earnings from University of Sheffield graduates who took Computer Science (Artificial Intelligence) - or another course in the same subject area.
Earnings
£31k
First year after graduation
£44.2k
Third year after graduation
£50.4k
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).
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 University of Sheffield on The Student Room.
University of Sheffield open days
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Universities will list upcoming open days on their websites. Most will also have virtual open days; these are a great alternative if you really can't get there in person. For tips on preparing for open days, check the advice section here on The Uni Guide.
