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Image from Computer Science (Artificial Intelligence) (Industrial)
Image from Computer Science (Artificial Intelligence) (Industrial)
Image from Computer Science (Artificial Intelligence) (Industrial)

Bachelor of Science (with Honours) - BSc (Hons)

Computer Science (Artificial Intelligence) (Industrial)

University of Leeds

(4.2)
146 reviews

Entry requirements

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

Select a qualification to see required grades

A level

A,A,A

AAA including Mathematics. Where an A-level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade. GCSE: GCSE: English Language grade 4 (C) or higher, or an equivalent English language qualification. We will accept Level 2 Functional Skills English instead of GCSE English.

Most popular A-levels studied

The Computer Science (Artificial Intelligence) (Industrial) course at University of Leeds 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.

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

Course summary

What this course is about

UCAS code: G705

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

Become an expert in one of the fastest-developing and most exciting areas of computer science to help industries everywhere tackle the digital challenges of tomorrow. AI touches nearly every industry everywhere. It’s radically changing the way we interact with each other, process data and make decisions – and it’s evolving every day. From commerce to healthcare, AgriTech to government, gaming to finance – innovators in computer science and AI are often at the forefront of new technological developments and already creating the solutions of tomorrow. This degree gives you those core foundations in algorithm design, problem solving and practical programming, alongside specialist AI skills in machine learning, neural networks, and big data processing. As a computer science student at Leeds, you’ll study in our purpose-built hub for students and academics – the?Sir William Henry Bragg Building. It’s home to world-leading research and specialist teaching facilities right here on campus. With AI transforming industries across the globe, this degree will help answer that demand and open the doors to exciting opportunities in this rapidly growing field. Student profile: "The Faculty's dedication to staying at the forefront of AI advancements was evident. They consistently infused the curriculum with the latest theoretical insights and practical applications, offering a learning experience that went beyond traditional boundaries." Matthew Heyes, Computer Science (Artificial Intelligence), BSc

Why study at Leeds

  • Globally-renowned research:?This feeds directly into your course, shaping your learning with the latest thinking in everything from AI to biomedicine, algorithms to computational engineering – and beyond.

  • Benefit from specialist facilities: Study in our purpose-built hub, the William Henry Bragg Building, with custom teaching labs containing high-spec Linux machines and a range of collaborative and quiet study spaces. Take a virtual tour.

  • Get access to industry experts: Gain insights from experts and graduates who are shaping the future of the tech sector. Our programme of talks gives you the chance to ask questions, make connections and get inspiration for your future career.

  • Gain real-world experience: Give your CV that competitive edge before you graduate with our industrial work placement opportunities. Our close industry links have given previous students the chance to work at — and build professional relationships with — organisations such as Arm, Mercedes-Benz and Lloyds Banking Group.

  • Study abroad: Gain invaluable life experience and advance your personal development with our exciting study abroad programmes, spanning across universities worldwide.

  • Bring your skills to life outside the classroom: Our extra-curricular activities include a 24-hour hackathon backed by industry sponsors and CompSoc, a hands-on integrated design project, the UKIEPC national programming competition hosted on campus, building a rocket with the Leeds University Rocketry Association or attending the British Computing Society’s Women Lovelace Colloquium.

Rankings and awards Top 100 in the world, QS World University Rankings 2026

Where this degree could take you Our graduates find employment across a range of sectors, including:

  • Non-governmental organisations

  • Government agencies

  • Education

  • Media

  • Gaming

  • Technology

  • Consultancies

  • Finance (& Finance Technologies)

  • Public Authority

Career Support Top 10 most targeted for 10+ years by the UK's leading employers, The Graduate Market 2026, High Fliers Research At Leeds, we help you to prepare for your future from day one. Our?Careers Service?has the global expertise and sector-spanning industry partnerships that, combined, go way beyond simply helping you get a job. They provide you with the resources you need to upskill and achieve the future you aspire towards – even in the face of lightning-paced change.

Source: University of Leeds

Course details

Qualification

Bachelor of Science (with Honours) - BSc (Hons)

Department

School of Computing

Location

Main Site | Leeds

Duration

4 Years

Study mode

Full-time with year in industry

Subjects

• Applied computing

• Artificial intelligence

• Computer science

Start date

23 September 2026

Application deadline

14 January 2026

University of Leeds student reviews

(4.2)
Based on 146 reviews from University of Leeds's students and alumni
5 star
41%
4 star
44%
3 star
13%
2 star
1%
1 star
1%
All reviews

Showing 128 reviews

3rd year student

2 years ago

The Student Union at the University of Leeds is exceptional. It offers robust support, diverse activities, and represents student interests effectively. From welfare services to inclusive events, the union enhances student life and fosters a sense of community on campus. It's truly a vital resource ...

(5)
Student Union

3rd year student

2 years ago

University life at the University of Leeds is vibrant and diverse, offering state-of-the-art facilities, a rich community, and numerous opportunities for academic and personal growth. With a wide range of clubs, societies, and events, students can engage in various activities and build lifelong conn...

(5)
University life

3rd year student

2 years ago

the university offers various support services, including financial aid advice and budgeting assistance, to help students manage their expenses effectively.

(5)
Finance

3rd year student

2 years ago

From counseling and mental health resources to career guidance and academic assistance, students have access to comprehensive support throughout their university journey. The university also provides various student-led initiatives and programs aimed at fostering inclusivity and community engagement...

(5)
Support

3rd year student

2 years ago

The faculty at the University of Leeds, especially within the International Relations department, is exceptionally knowledgeable and supportive. They are passionate about teaching and go the extra mile to ensure students understand complex concepts. Approachable and dedicated, they inspire students ...

(5)
Facilities

3rd year student

2 years ago

The diverse academic programs in international relations have provided me with valuable insights into global affairs and diplomatic relations. The faculty members, with their expertise and guidance, have been instrumental in shaping my understanding of complex geopolitical issues.

(5)
Course

National Student Survey (NSS) scores at University of Leeds

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) (Industrial) course at University of Leeds 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

Computing
Computer science
Artificial intelligence

Select an option to see a detailed breakdown

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

88%

med

How good are teaching staff at explaining things?

84%

low

How often do teaching staff make the subject engaging?

54%

low

How often is the course intellectually stimulating?

87%

med

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

79%

med

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

75%

low

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

75%

low

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

75%

med

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

67%

low

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

81%

low

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

82%

med

How often does feedback help you to improve your work?

49%

low

How often have you received assessment feedback on time?

68%

low

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

67%

low

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

87%

med

How well have teaching staff supported your learning?

79%

low

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

72%

med

How well organised is your course?

62%

low

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

84%

med

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

85%

med

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

90%

med

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

55%

low

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?

74%

med

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

78%

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?

82%

med

Select an option to see a detailed breakdown

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

88%

high

How good are teaching staff at explaining things?

84%

med

How often do teaching staff make the subject engaging?

54%

low

How often is the course intellectually stimulating?

87%

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?

75%

low

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

75%

low

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

75%

med

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

67%

low

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

80%

low

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

82%

med

How often does feedback help you to improve your work?

48%

low

How often have you received assessment feedback on time?

68%

med

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

67%

low

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

87%

med

How well have teaching staff supported your learning?

79%

low

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

72%

low

How well organised is your course?

63%

low

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

84%

med

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

85%

med

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

90%

med

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

55%

low

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?

74%

med

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

78%

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?

82%

med

Select an option to see a detailed breakdown

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

88%

med

How good are teaching staff at explaining things?

80%

low

How often do teaching staff make the subject engaging?

57%

low

How often is the course intellectually stimulating?

92%

med

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?

81%

med

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

71%

low

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

85%

med

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

74%

med

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

88%

med

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

88%

med

How often does feedback help you to improve your work?

59%

med

How often have you received assessment feedback on time?

80%

med

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

71%

med

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

86%

med

How well have teaching staff supported your learning?

83%

med

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

78%

med

How well organised is your course?

59%

low

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

92%

med

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?

92%

med

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

58%

med

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

89%

med

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

81%

med

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

79%

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?

78%

low

Student information

The Computer Science (Artificial Intelligence) (Industrial) course at University of Leeds 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.

Artificial intelligence
Computer science
Computing
Mode of study
Full-time100%
Gender ratio
Female21%Male79%
Where students come from
International37%UK63%
Student performance
2:1 or above77%
Number of students1,030
Mode of study
Full-time100%
Gender ratio
Female25%Male75%
Where students come from
International56%UK44%
Student performance
2:1 or above66%
Number of students240
Mode of study
Full-time100%
Gender ratio
Female21%Male79%
Where students come from
International37%UK63%
Student performance
2:1 or above77%
Number of students1,030
Source: HESA

Graduate prospects

What graduates do next

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

Computing
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

70%

Are utilising studies

Top job areas

85%

Information Technology Professionals

5%

Business and public service associate professionals

5%

Business, Research and Administrative Professionals

5%

Managers, directors and senior officials

Graduate statistics

100%

In a job where degree was essential or beneficial

80%

In work, study or other activity

90%

Say it fits with future plans

70%

Are utilising studies

Top job areas

85%

Information Technology Professionals

5%

Business and public service associate professionals

5%

Business, Research and Administrative Professionals

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 Leeds graduates who took Computer Science (Artificial Intelligence) (Industrial) - or another course in the same subject area.

Computing

Earnings

£33.9k

First year after graduation

£36.9k

Third year after graduation

£42.5k

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) (Industrial).

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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