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Master of Engineering (with Honours) - MEng (Hon)
Computer Science (Artificial Intelligence) (Industrial)
University of Leeds
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. Excludes A-level General Studies or Critical Thinking. GCSE: English Language at grade C (4) or above, or an appropriate English language qualification. We will accept Level 2 Functional Skills English in lieu of GCSE English.
Course summary
What this course is about
UCAS code: G704
Here's what University of Leeds says about its Computer Science (Artificial Intelligence) (Industrial) course.
Artificial intelligence is one of the fastest developing areas of computer science. It is being used in exciting new ways to enhance and evolve computer games, web search, biometric systems and many other areas. Artificial intelligence is also being applied to important economic and societal issues in fields such as medicine, health, transport and smarter cities.
Developments in artificial intelligence are radically changing the way that we interact with each other, process data and make decisions. From commerce to healthcare, from agritech to government – innovators in computer science and artificial intelligence and are often at the forefront of new technological developments and already creating the solutions of tomorrow.
Successful computer scientists are not only skilled programmers, but they are also highly creative thinkers and problem-solvers who are adept at handling complex information. Computing touches every industry, everywhere, so computer scientists and artificial intelligence specialists are in demand in a variety of sectors.
Studying a computer science with artificial intelligence degree at Leeds will equip you with the core technical and problem-solving skills to tackle current and emerging challenges in this fast-changing field. Alongside technical skills such as algorithm design, problem solving and practical programming, you'll develop a raft of vital workplace skills such as collaborative working and project management, as well as studying specialist artificial intelligence topics such as machine learning, deep learning, text analytics and their applications in areas from vision to automated reasoning.
You’ll also be taught in our brand new, purpose-built hub for students and academics – the?Sir William Henry Bragg Building?– which is home to leading research and specialist teaching facilities here on campus.
If you want to be challenged, to work in multidisciplinary teams, solve global and emerging challenges and have a portable and highly sought-after skill set then studying computer science is a great option. The topics you’ll study reflect the latest developments in computer science, equipping you with the key knowledge, skills and experience you need to begin your career in this highly valued profession.
Studying computer science is the perfect foundation for a career in Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, Software Engineering (full stack development), Blockchain development, Augmented/Virtual Reality or Data Science.
Computer Science provides essential knowledge in algorithms, data structures, and programming—key skills needed to develop Artificial Intelligence systems. Computer science also covers machine learning, neural networks, and big data processing, all of which are critical for building and improving AI models. With AI transforming industries from healthcare to finance, a strong background in computer science opens doors to exciting opportunities in this rapidly growing field.
Industrial placement year This programme gives you the opportunity to undertake a paid industrial placement year as part of the course. Our close industry links give you the platform to apply to a number of major organisations such as Apple, Microsoft and Amazon.
Source: University of Leeds
Course details
Qualification
Master of Engineering (with Honours) - MEng (Hon)
Department
School of Computing
Location
Main Site | Leeds
Duration
5 Years
Study mode
Full-time with year in industry
Subjects
• Artificial intelligence
• Computer science
Start date
23 September 2026
Application deadline
14 January 2026
University of Leeds student reviews
Showing 128 reviews
3rd year student
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 ...
1 year ago
3rd year student
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...
1 year ago
3rd year student
the university offers various support services, including financial aid advice and budgeting assistance, to help students manage their expenses effectively.
1 year ago
3rd year student
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...
1 year ago
3rd year student
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 ...
1 year ago
3rd year student
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.
1 year ago
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
Select an option to see a detailed breakdown
Teaching on my course
78%
med
Teaching on my course
78%
med
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
Learning opportunities
74%
low
Learning opportunities
74%
low
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
Assessment and feedback
69%
low
Assessment and feedback
69%
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
Academic support
83%
med
Academic support
83%
med
How easy was it to contact teaching staff when you needed to?
87%
med
How well have teaching staff supported your learning?
79%
low
Organisation and management
67%
low
Organisation and management
67%
low
How well were any changes to teaching on your course communicated?
72%
low
How well organised is your course?
63%
low
Learning resources
86%
med
Learning resources
86%
med
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
Student voice
72%
med
Student voice
72%
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
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?
82%
med
Select an option to see a detailed breakdown
Teaching on my course
80%
med
Teaching on my course
80%
med
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
Learning opportunities
79%
med
Learning opportunities
79%
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
Assessment and feedback
78%
med
Assessment and feedback
78%
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
Academic support
84%
med
Academic support
84%
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
Organisation and management
69%
low
Organisation and management
69%
low
How well were any changes to teaching on your course communicated?
78%
med
How well organised is your course?
59%
low
Learning resources
92%
med
Learning resources
92%
med
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
Student voice
76%
med
Student voice
76%
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
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?
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.
| Most popular A-levels studied | ||||||
|---|---|---|---|---|---|---|
| Subject | Grade | |||||
| Mathematics | A | |||||
| Computer Science | A | |||||
| Physics | A | |||||
| Further Mathematics | B | |||||
| Chemistry | A | |||||
| Most popular A-levels studied | ||||||
|---|---|---|---|---|---|---|
| Subject | Grade | |||||
| Mathematics | A | |||||
| Computer Science | A | |||||
| Physics | A | |||||
| Further Mathematics | B | |||||
| Economics | A | |||||
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.
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.
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).
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 Leeds on The Student Room.
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