Artificial intelligence is increasingly important to computer games, web search, biometric systems and many other areas of modern IT.
This course will allow you to gain fundamental skills such as programming, mathematics, network architectures and project management, while studying specialist artificial intelligence topics such as machine learning, image analysis, text analytics and their applications in areas from vision to automated reasoning.
Drawing on our internationally leading research and development in the School of Computing and the University’s £4.3m National Facility for Innovative Robotics Systems, you’ll also explore how artificial intelligence is being applied to important economic and societal issues in fields such as medicine, health, transport and smarter cities through case studies from ongoing research projects.
You’ll apply your knowledge to project work in every year, giving you the skills and experience you’ll need for your future career.
You can choose to take either the four-year Integrated Masters (MEng, BSc) or the three-year Bachelor’s (BSc) degree on this course.
Find out more about the MEng, BSc and BSc
You’ll have access to specialist facilities including well-equipped labs containing Linux and Microsoft platforms.
For final-year project work you’ll also be able to make the most of our research facilities, such as a 53-megapixel powerwall display and dedicated 3D virtual reality suite, a new testbed for cloud computing and dedicated labs with high-spec, dual-display Linux workstations, iPad, Mac and Android development areas.
Our courses in Computer Science, Computer Science with Artificial Intelligence and Computer Science with Distributed Systems all share a common first year, which focuses on the fundamentals of programming and the mathematical principles that underpin computer science. This gives you the flexibility to switch easily between the three courses if you choose.
In Year 2 you’ll build on this foundation to develop your knowledge of algorithms and operating systems among other key areas. You’ll also gain learn more about the ideas and techniques involved in different approaches to artificial intelligence, the basics of knowledge representation and key aspects of data mining. You’ll also choose from optional modules in areas such as mobile app development.
There are fewer compulsory modules in Year 3, when you’ll learn more about robotics and parallel computing while choosing from a wide range of optional modules. You could focus on data science, web services, visualising information or user-adaptive intelligent systems, allowing you to gain a broad base of knowledge and build further specialist skills.
If you continue to Year 4 for the MEng qualification, you’ll take masters-level modules in areas such as machine learning, image analysis and language processing to enhance your knowledge of the ways in which computer systems can process, represent and analyse different types of complex data.
You’ll also have the chance to select optional modules from big data to cloud computing and semantic technologies, and take part in a substantial group project on a specific engineering problem that allows you to apply everything you’ve learned during the course.
Every year of the course gives you hands-on experience of project work. This gives you the opportunity to explore your subject further as well as developing valuable skills in problem solving, communication and teamwork.
Find out more about our Projects
You’ll study computing ethics as part of your course. This is taught using real life case studies, with input from specialist ethicists as well as your tutors and lecturers. The team responsible for the ethics taught in computing has produced educational material used to stimulate debate in class about topics such as ethical hacking, open source software, and use of personal data.
Not only will this enhance your reasoning and decision making skills which are crucial to employers, but it will help you identify and respond effectively to ethical dilemmas that you will encounter in your professional life in the IT industry.
These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.
- Databases 10 credits
- Computer Architecture 10 credits
- Computer Processors 10 credits
- Fundamental Mathematical Concepts 10 credits
- Introduction to Discrete Mathematics 10 credits
- Procedural Programming 10 credits
- Object Oriented Programming 10 credits
- Professional Computing 20 credits
- Programming Project 10 credits
- Programming for the Web 10 credits
- Introduction to Web Technologies 10 credits
- Data Mining 10 credits
- Operating Systems 10 credits
- Networks 10 credits
- Formal Languages and Finite Automata 10 credits
- Numerical Computation 10 credits
- Artificial Intelligence 10 credits
- Algorithms and Data Structures I 10 credits
- Algorithms and Data Structures II 10 credits
- User Interfaces 10 credits
- Software Engineering 20 credits
- Web Application Development 10 credits
- Social and Mobile Web Application Development 10 credits
- Requirements Engineering 10 credits
- Systems Thinking 10 credits
- Machine Learning 10 credits
- Intelligent Systems and Robotics 20 credits
- Individual Project 40 credits
- Web Services and Web Data 10 credits
- Data Science 10 credits
- Distributed Systems 10 credits
- Parallel Computation 10 credits
- Mobile Application Development 10 credits
- Cryptography 10 credits
- Programming Languages and Compilation 10 credits
- Information Visualization 10 credits
- User Adaptive Intelligent Systems 10 credits
- Computer Graphics 10 credits
- Combinatorial Optimisation 10 credits
- Secure Computing 10 credits
- Graph Algorithms and Complexity Theory 10 credits
- Functional Programming 10 credits
- Bio-Inspired Computing 15 credits
- Knowledge Representation and Reasoning 15 credits
- Group Project 30 credits
- Data Mining and Text Analytics 15 credits
- Image Analysis 15 credits
- Big Data Systems 15 credits
- Data Mining and Visualization 15 credits
- Systems Programming 15 credits
- Parallel and Concurrent Programming 15 credits
- Cloud Computing 15 credits
- Semantic Technologies and Applications 15 credits
- Scientific Visualization 15 credits
- Advanced Software Engineering 15 credits
- Software Engineering 15 credits
- Scientific Computation 15 credits
- Graph Theory: Structure and Algorithms 15 credits
- Functional Programming 15 credits
Broadening your academic horizons
At Leeds we want you to benefit from the depth and breadth of the University's expertise, to prepare you for success in an ever-changing and challenging world. This course gives you the opportunity to broaden your learning by studying discovery modules. Find out more on the Broadening webpages.
Learning and teaching
You’ll study among academics who are leading their fields. Our research feeds directly into our teaching, meaning you’ll learn about the very latest developments in your subject while gaining the knowledge and skills to meet the needs of the IT industry.
To help you benefit from our expertise, we use a range of teaching and learning methods including lectures, lab classes, tutorials and example classes. Together they will equip you with in-depth knowledge and key practical skills that will put you in a good position to compete in science and technology-related careers. You’ll also work with an academic supervisor on your projects.
Our personal tutorial system will provide academic and pastoral support. You will have a designated personal tutor throughout your studies at Leeds. He or she will be an academic member of staff: you will have weekly academic tutorials with your tutor throughout your first year, in your tutor group (of typically 5 students), as well as one-to-one meetings twice per semester.
In addition, our excellent student support team is based close to where you’ll work and study to help with anything from academic advice to timetabling and project submission enquiries.
You’ll be assessed using various methods including formal exams, lab practicals and project reports. Throughout the year, you’ll also be assessed using coursework, worksheets, in-module tests, example sheets and presentations to develop your knowledge and allow us to monitor your progress.
Entry requirements, fees and applying
A-level: AAA including Mathematics or Computing, excluding General Studies.
GCSE: English Language at grade C or above, or an appropriate English language qualification.Other course specific tests:
Where candidates can demonstrate interest and aptitude for the subject, we may make a lower offer (usually AAB or equivalent).
Access to HE Diploma
Pass 60 credits overall with 45 credits at Level 3, 30 credits with Distinction (including Mathematics) and the remaining 15 credits with Merit or above.
D*DD including D in Further Mathematics.
35 overall (18 higher including 5 points at higher level in Mathematics).
Irish Highers (Leaving Certificate)
A1A1A2A2A2A2, including Mathematics and English.
Scottish Highers / Advanced Highers
AAAAA overall (AAA at advanced level including Mathematics or Computing).
IT or Engineering Diploma: A (plus A or above in Mathematics or Computing in A-level).
Read more about UK and Republic of Ireland accepted qualifications or contact the Schools Undergraduate Admissions Team.
Were committed to identifying the best possible applicants, regardless of personal circumstances or background.
Access to Leeds is an alternative admissions scheme which accepts applications from individuals who might be from low income households, in the first generation of their immediate family to apply to higher education, or have had their studies disrupted.
Find out more about Access to Leeds and alternative admissions.
We accept a range of international equivalent qualifications.
English language requirementsIELTS 6.0 overall, with no less than 5.5 in any component. For other English qualifications, read English language equivalent qualifications.
International students who do not meet the English language requirements for the programme may be able to study an English for Academic Purposes pre-sessional course with a progression route to the degree programme. For information and entry requirements, read Pre-sessional programmes.
How to apply
Apply to this course through UCAS. The institution code for the University of Leeds is L23. Check the deadline for applications on the UCAS website.
International students apply through UCAS in the same way as UK/EU students. Our network of international representatives can help you with your application. If youre unsure about the application process, contact the admissions team for help.
Read about visas, immigration and other information in International students. We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.
Suitable applicants will be invited to an applicant day, which gives you the opportunity to meet our students, academic staff and admissions staff, and find out more about your course. You’ll take part in a practical computing activity followed by a student-led tour.
We like to interview applicants before making an offer, so the applicant day will also include an interview with one of our academics. This will give you the chance to discuss your application in more detail, check that it’s the right course for you and your career plans, have your questions answered and find out more about studying at Leeds.
Fees are published in the September before the year of entry. They will be updated here after this date.
If you take a study abroad or work placement year, youll pay a reduced tuition fee during this period. For more information, see Study abroad and work placement tuition fees and loans.
Read more about paying fees and charges.
The School of Computing offer a range of scholarships for Home, EU and International students.
Find out more about our Scholarships
Intelligent systems range from domestic appliances and Internet search engines to robots exploring Mars. Our graduates find employment in the IT industry, ranging from start-ups to international organisations, and across a range of other sectors including computer games, technology, retail, finance, public authorities and consultancies. We have close links with companies such as IBM, Accenture and Hewlett Packard, and employers ranging from small/medium enterprises to large multi-nationals consistently target our graduates.
90% of our recent graduates have gone on to work or further study within six months of graduating. Recent graduate destinations include Barclays, BT Group – Openreach, CSC, EMIS, Ernst & Young, Fujitsu, Goodrich ISR Systems, Imagination Technologies, Microsoft and PepsiCo.
Read our alumni profiles to find out more about where our students are working
You’ll have access to our dedicated Employability team, located centrally in our Employability Suite, who will provide you with specialist face-to-face support and advice to help you find relevant work experience, internships and year-in-industry placements, as well as graduate positions.
You’ll benefit from timetabled employability sessions, ongoing support during internships and placements, and presentations and workshops delivered by employers. The team also works closely with the University’s Careers Centre, which is one of the largest in the country.
Find out more about careers support and employability
Study abroad and work placements
On this course you have the opportunity to apply to spend time abroad, usually as an extra academic year. The University has partnerships with more than 400 universities worldwide and popular destinations for our students include Europe, the USA, Canada, Australia, New Zealand, Singapore, Hong Kong, South Africa and Latin America.
Find out more at the Study Abroad website.
With the help and support of our faculty Employability Team, you can choose to undertake a summer vacation placement at one of the 100+ companies that we work with. If you decide to undertake an industrial training year this will extend your period of study by 12 months and, on successful completion, you will be awarded the ‘industrial’ variant in your degree title to demonstrate your added experience to future employers.
As a BEng student you have the option to undertake the placement between years 2 and 3. MEng, BEng students can choose to do this either between years 2 and 3 or years 3 and 4.
Find out more about work placements