(Full time) 2023 start
Computer Science with Artificial Intelligence MEng, BSc
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 of modern IT. Artificial intelligence is also being applied to important economic and societal issues in fields such as medicine, health, transport and smarter cities.
Successful computer scientists are not only skilled programmers, 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 all sorts of sectors and are usually at the forefront of new technological developments.
Studying computer science with artificial intelligence at Leeds will equip you with the core technical and problem-solving skills to tackle current and emerging challenges in this crucial and fast-changing field. You will develop fundamental skills in programming, mathematics, network architectures and project management, as well as studying specialist artificial intelligence topics such as machine learning, image analysis, text analytics and their applications in areas from vision to automated reasoning.
As a computer science student, you’ll be taught in our brand new, purpose-built hub for students and academics - the Sir William Henry Bragg Building - which is home to world-leading research and specialist teaching facilities and laboratories right here on campus. The Bragg Centre is where scientists and engineers work collaboratively to develop solutions for economical, societal and technical challenges in the UK.
Here at Leeds, we understand the importance this industry has in everyday life, which is why our courses are professionally accredited by the British Computer Society (BCS). The topics you’ll study reflect the latest developments in computer science and artificial intelligence, equipping you with the key knowledge, skills and experience you need to begin your career.
Why study at Leeds:
- Our courses are shaped by our world-leading research in areas such as artificial intelligence, computational science and engineering, computational medicine and distributed systems.
- Benefit from our partnership with the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.
- Study in the Sir William Henry Bragg building, a brand-new development providing excellent facilities and teaching spaces for an outstanding student experience.
- Enhance your skills in our dedicated Robotics Teaching Lab were students program and test robots and develop important individual and teamwork skills.
- Develop your experience and boost your career prospects with our paid industrial placement opportunities or study abroad programmes.
- Make the most of your time at Leeds by joining CompSoc, where you can meet like-minded undergraduate and postgraduate students in the School of Computing through fortnightly events covering a range of activities including socials, sports and Hackathons!
Accreditation is the assurance that a university course meets the quality standards established by the profession for which it prepares its students. An accredited computer science course must meet the quality standards set by the British Computer Society (BCS).
Completing this degree course fulfils the academic requirements associated with becoming a member of the BCS. By completing our MEng, BSc degree course you will have exemption from the Engineering Council professional examinations, the first step towards becoming a chartered engineer.
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In this course, you’ll develop industry-standard skills in computer programming, architecture, mathematics and security, with applications in a wide variety of career choices. Beginning with a focused curriculum of modules in core computer science concepts, you’ll advance through the course to choose from a wide selection of optional modules, allowing you to specialise in the topics that interest you the most.
Discovery modules are available in all years of your degree, as long as you are taking enough credits of your own subject for that year.
You can choose to study either the four-year Integrated Masters (MEng, BSc) or the three-year Bachelor’s (BSc).
Our courses in Computer Science with Artificial Intelligence, Computer Science BSc, Computer Science MEng, BSc and Computer Science with High-Performance Graphics and Games Engineering MEng, BSc 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, until the end of your first year.
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 your third year, when you’ll learn more about robotics and machine learning 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.
Year 4 (MEng)
You’ll take masters-level modules in areas such as deep learning, knowledge representation and reasoning, 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 bio-inspired computing - take part in a substantial group project on a specific engineering problem that allows you to apply everything you’ve learned during the course.
Example projects include:
- AI for Board and Card Games
- Artificial Life and Simulation of Intelligent Movement
- Potential Dangers of Artificial Intelligence
- Perception of Barely Discernible Colour Differences
- Topics in Knowledge Representation and Reasoning
One-year optional work placement or study abroad
To advance your skill set and boost your experience, you can choose to take up an industrial placement or study abroad at one of the many universities we’re in partnership with worldwide. Both of these options will extend your degree by 12 months.
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.
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’ll encounter in your professional life in the IT industry.
The list shown below represents typical modules/components studied and may change from time to time. Read more in our terms and conditions.
For more information and a full list of typical modules available on this course, please read Computer Science with Artificial Intelligence MEng, BSc in the course catalogue
- 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
Optional modules (selection of typical options shown below)
- 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 Principles 10 credits
- Software Engineering Project 10 credits
Optional modules (selection of typical options shown below)
- Web Application Development 10 credits
- Social and Mobile Web Application Development 10 credits
- Requirements Engineering 10 credits
- Systems Thinking 10 credits
- Compiler Design and Construction 10 credits
- Machine Learning 10 credits
- Intelligent Systems and Robotics 20 credits
- Secure Computing 10 credits
- Individual Project 40 credits
Optional modules (selection of typical options shown below)
- Web Services and Web Data 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
- Graph Algorithms and Complexity Theory 10 credits
- Functional Programming 10 credits
- Innovation Thinking and Practice 10 credits
- Knowledge Representation and Reasoning 15 credits
- Group Project 30 credits
- Artificial Intelligence 15 credits
Optional modules (selection of typical options shown below)
- Big Data Systems 15 credits
- Data Science 15 credits
- Bio-Inspired Computing 15 credits
- Machine Learning 15 credits
- Cloud Computing 15 credits
- Advanced Software Engineering 15 credits
- Scientific Computation 15 credits
- Graph Theory: Structure and Algorithms 15 credits
Throughout your degree you will benefit from a range of opportunities to expand your intellectual horizons outside or within your subject area.
This course gives you the opportunity to choose from a range of discovery modules. They’re a great way to tailor your study around your interests or career aspirations and help you stand out from the crowd when you graduate. Find out more about discovery modules on our 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.
Our Virtual Learning Environment will help to support your studies: it’s a central place where you can find all the information and resources for the School, your programme and modules.
You can also benefit from support to develop your academic skills, within the curriculum and through online resources, workshops, one-to-one appointments and drop-in sessions.
On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.
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. Grade B (6) or above in GCSE Mathematics is required if no Mathematics A-level is taken.
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.
Extended Project Qualification and International Project Qualification: Whilst we recognise the value of these qualifications and the effort and enthusiasm that applicants put into them, we do not currently include them as part of our offer-making. We do, however, encourage you to provide further information on your project in your personal statement.
Access to HE Diploma
Pass 60 credits overall with 45 credits at Level 3, 30 credits with Distinction (including an appropriate number of Mathematics modules) and the remaining 15 credits with Merit or above.
D*D*D with Distinctions in all Mathematics units. Mathematics units must include Further Mathematics. This unit may be optional on your BTEC but is it required by the Faculty. Please contact us for further information. Please note: there may be different requirements for the new RQF BTECs, please contact Admissions.
Read more about UK and Republic of Ireland accepted qualifications or contact the School’s Undergraduate Admissions Team.
D3, D3, D3 including Mathematics.
35 points overall with 18 points at Higher level to include 5 in HL Mathematics: Analysis and Approaches or 6 in HL Mathematics: Applications and Interpretation or 5 in HL Computing. If only Computing is offered from the IB, Grade B or above in GCSE Mathematics (or equivalent) is required.
Irish Leaving Certificate (higher Level)
H1 H2 H2 H2 H2 H2, including Mathematics.
Scottish Highers / Advanced Highers
AA at Advanced Higher level, including Mathematics or Computing, and AABBB at Higher level.
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.
Typical Access to Leeds offer: ABB, including an A in Mathematics or Computing. Grade B (6) or above in GCSE Mathematics is required if no Mathematics A-level is taken.
If you do not have the formal qualifications for immediate entry to one of our degrees, you may be able to progress through a foundation year. We offer a Studies in Science with a Foundation Year BSc for students without a science background at A-level and an Interdisciplinary Science with Foundation Year BSc for applicants who meet specific widening participation criteria.
English language requirements
IELTS 6.0 overall, with no less than 5.5 in each section.. For other English qualifications, read English language equivalent qualifications.
Improve your English
If you're an international student and you don't meet the English language requirements for this programme, you may be able to study our undergraduate pre-sessional English course, to help improve your English language level.
How to apply
Apply to this course through UCAS. Check the deadline for applications on the UCAS website.
We typically receive a high number of applications for this course. To ensure we treat all applications fairly, we may put your application on hold until after the UCAS deadline before making a final decision. All applications received before the UCAS deadline are guaranteed equal consideration.
This course is not accepting applications for deferred entry.
Read our admissions guidance and see ‘application decisions’ for details.
International students apply through UCAS in the same way as UK students. Our network of international representatives can help you with your application. If you’re 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.
University of Leeds Taught Admissions Policy 2023
International: £26,500 (per year)
Tuition fees for UK undergraduate students starting in 2022/23
For UK full-time undergraduate students starting in 2022/23 the fee will be £9,250. The fee may increase in future years of your course in line with inflation and as permitted by law. Fees for UK undergraduate students are decided by the government and may vary if policy changes.
Tuition fees for UK undergraduate students starting in 2023/24
Tuition fees for UK full-time undergraduate students for 2023/24 have been agreed by the UK Government and will remain at the current fee level of £9,250. The fee may increase in future years of your course in line with inflation and as permitted by law. Fees for UK undergraduate students are decided by the government and may vary if policy changes.
Tuition fees for international undergraduate students starting in 2023/24
Tuition fees for international students for 2023/24 should be available on individual course pages from September 2022.
Tuition fees for a study abroad or work placement year
If you take a study abroad or work placement year, you’ll 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.
There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more about additional costs.
If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There is help for students in the form of loans and non-repayable grants from the University and from the government. Find out more in our Undergraduate funding overview.
There is a wealth of excellent job opportunities for graduate computer scientists – making it easy for you to choose your ideal career. From start-ups to international organisations, the IT industry is booming and demand for computer science graduates looks set to continue at a pace.
University of Leeds students are among the top 5 most targeted by top employers according to The Graduate Market 2022, High Fliers Research. We have close links with companies such as IBM, Accenture and Hewlett Packard and our graduates find employment across a range of sectors including:
- Computer Games
- Banking and investment
- Public authority
Our most recent graduate destinations include:
- BAE Systems Applied Intelligence
- Yokogowa Middle East B.S.C
- BT Group – Openreach
- Ernst & Young
- Goodrich ISR Systems
- Imagination Technologies
At Leeds we help you to prepare for your future from day one. Our Leeds for Life initiative is designed to help you develop and demonstrate the skills and experience you need for when you graduate. We will help you to access opportunities across the University and record your key achievements so you are able to articulate them clearly and confidently.
You will be supported throughout your studies by our dedicated Employability team, who will provide you with specialist support and advice to help you find relevant work experience, internships and industrial placements, as well as graduate positions. You’ll benefit from timetabled employability sessions, support during internships and placements, and presentations and workshops delivered by employers.
You will also have full access to the University’s Careers Centre, which is one of the largest in the country.
Study abroad and work placements
Studying abroad is a unique opportunity to explore the world, whilst gaining invaluable skills and experience that could enhance your future employability and career prospects too.
From Europe to Asia, the USA to Australasia, we have many University partners worldwide you can apply to, spanning across some of the most popular destinations for students.
Find out more at the Study Abroad website.
The graduate recruitment market is highly competitive so it’s important that you stand out. An industrial placement could be the opportunity you need to impress potential employers and improve your chances of securing the career you want.
Benefits of a work placement year:
- 100+ organisations to choose from, both in the UK and overseas
- All placements are salaried
- Build industry contacts within your chosen field
- Our close industry links mean you’ll be in direct contact with potential employers
- Advance your experience and skills by putting the course teachings into practice
- Gain invaluable insight into working as a professional in this industry
- Improve your employability
If you decide to undertake a placement 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.
With the help and support of our dedicated Employability team, you can find the right placement to suit you and your future career goals.
Here are some examples of placements our students have recently completed:
- Software Engineering Placement, Blaize U.K LTD
- Software Developer, NewRedo
- Backend Engineer, Monzo Bank Limited
- Industrial Placement Student, Unisys Ltd
- Python Scientific Software Developer, UK Research and Innovation
- Operations Analyst, Williams Racing
- Associate Engineer, Playground Games
Find out more about work experience on the Careers website.