Computer Science (Artificial Intelligence) MEng, BSc
Year of entry 2024
- UCAS code
- Start date
- September 2024
- Delivery type
- On campus
- 4 years full time
- Work placement
- Study abroad
- Typical A-level offer
- AAA (specific subject requirements)
- Typical Access to Leeds offer
Full entry requirements
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.
Why study at Leeds:
- Our globally-renowned research feeds directly into your course, shaping your learning with the latest thinking in areas such as algorithms and complexity, artificial intelligence, computational science and engineering, biomedicine & health and distributed systems and services.
- Experience expert teaching delivered by a programme team made up of academics and researchers who specialise in a variety of computing areas.
- Access excellent facilities including two custom-built teaching laboratories containing high-specification Linux machines and a range of collaborative and quiet study spaces.
- Enhance your career prospects and 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 Apple, Microsoft and Amazon.
- Gain invaluable life experience and advance your personal development with our exciting study abroad programmes, spanning across universities worldwide.
- Make the most of your time at Leeds by joining CompSoc, where you can meet like-minded peers and enjoy a variety of social, professional and academic events including Hackathons, community outreach and professional networking. CompSoc also hosts sports teams and academic support groups.
British Computer Society (BCS)
Accreditation is the assurance that a university course meets the quality standards established by the profession for which it prepares its students.
The School of Computing at Leeds has a successful history of delivering courses accredited by the British Computing Society (BCS). This means our computer science courses have consistently met the quality standards set by the British Computer Society (BCS).
As we are reviewing our curriculum, we are currently seeking reaccreditation from the BCS for accreditation of full Chartered IT Professional (CITP) and Chartered Engineer (CEng).
We are currently reviewing our curriculum as part of a university-wide process. As a result, we are unable to publish module information for this course at this time. The information below provides an overview of what you’ll study and our approach to teaching and assessment. We will update this page as soon as the changes are confirmed. Read more in our terms and conditions.
This content was last updated on 3 April 2023.
In this course, you'll develop industrially relevant skills which will aid you in a successful career of your choosing. You'll gain a fundamental understanding of computer hardware, software engineering and the underpinnings of mathematical principles. Alongside, you'll also have opportunities to develop critical thinking and creative skills that'll transfer into your career once you graduate.
You'll develop your commercial and industrial awareness by completing real-world problem-solving tasks, building up a portfolio of work to demonstrate your knowledge and skills in analysis, communication and teamwork to prospective employers.
Throughout this course, we work closely with you to develop personalised learning plans to ensure you are progressing towards the goal of becoming an outstanding computer science graduate ready to apply your skills.
This course will develop you into a well-rounded computer scientist with an awareness of the global challenges and opportunities available to you, ready for a challenging and rewarding career and equipped to continue learning to stay at the cutting edge of developments.
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 the use of personal data.
Each academic year, you'll take a total of 120 credits.
Years 1 and 2
You'll learn about the core topics in computer science and how they can be applied in a variety of real-world scenarios. You'll learn about programming and software engineering ensuring that you have a good grasp on contemporary programming languages and software engineering design principles. You'll also develop a good understanding of computer hardware, which is essential to being able to design software and algorithms.
Learn how to exploit hardware to your advantage to produce systems which meet customer requirements. In order to be able to justify that your software behaves as expected, with particular performance guarantees, you'll learn about the theoretical foundations of computer science.
Through these topics, you'll develop into a holistic computer scientist capable of problem identification, solution design, consideration of impact, implementation and evaluation. You'll develop an understanding of sustainability in computing and appreciate how your professional behaviour can help to develop a more equitable future for all. You'll work collaboratively with your fellow students in group projects and will have an opportunity to share your knowledge and experiences with students in different years.
Throughout year 1 and 2, you'll study topics relevant to artificial intelligence. Behind many of the most used artificial intelligence techniques is some computationally hard or complex problem. You'll learn about the underlying foundation of these problems and how to reason about them. You'll learn about the foundations of probability and statistics which underpin decision trees and Bayesian networks, linear algebra and calculus which underpin the techniques used to train neural networks, and the foundations of Logic which underpin many of the automated reasoning and knowledge representation techniques.
In your third year, you'll complete an individual project showcasing your accumulated skills and knowledge. You'll work with a member of academic staff to define, refine and complete a project related to your interests. You'll also study professionalism, innovation and enterprise ensuring you are well equipped to enter the workplace or continue your journey in education.
In year 3, you also have an opportunity to branch out and shape your learning journey by selecting from our advanced topics modules in subjects such as computer graphics, artificial intelligence, high-performance computing, algorithms and complexity and distributed systems.
You’ll learn about supervised and unsupervised machine learning techniques, including neural networks, support vector machines, decision trees, linear regression, clustering, Bayesian learning and reinforcement learning. You'll learn when and how to apply different techniques to real-world problems.
If you decide to leave after this year, you’ll graduate with a Computer Science BSc degree.
In year 4, you’ll deepen your understanding of artificial intelligence techniques. You'll learn about deep learning, machine learning, knowledge representation and reasoning, robotics, computer vision and text analytics.
You’ll also complete a group project in the area of artificial intelligence. Working as part of a small team you'll be paired with an academic to tackle a problem related to your interests and the School of Computing’s research expertise. You'll also complete a research skills/seminar module where you'll develop your skills to engage with cutting edge academic literature.
One-year optional work placement or study abroad
During your course, you’ll be given the opportunity to advance your skill set and experience further. You can apply to either undertake a one-year work placement or study abroad for a year, choosing from a selection of universities we’re in partnership with worldwide.
Learning and teaching
In the School of Computing, you'll be part of a large and welcoming learning community where academic staff and your fellow students work collaboratively together. Our expert academic staff bring a wealth of industrial and research experience meaning you'll have awareness of the forefront of developments when you graduate.
You'll be joining a diverse community of computer scientists from a range of backgrounds, where you'll be encouraged to share your experiences with and to learn from others in order to develop a university culture where our differences are our strengths. 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 your graduate job.
To help you benefit from our expertise, you'll be engaged in a mix of lectures, tutorials, seminars and practical labs, complemented by online learning resources and project-based learning. This mix of activities will develop you into a flexible and agile learner, suitable for keeping up with the fast pace of development in graduate careers. The approach is inclusive by design, and you'll be supported to develop the skills to best benefit from each type of activity.
Our personal tutorial system will provide you with academic and pastoral support. You'll be assigned to an academic personal tutor who will mentor you throughout your studies at Leeds. Everyone will have a different set of experience, interests and motivations for studying the subject, and your personal tutor will help you to understand what these are and how you can best leverage your experiences to make the most of your time at Leeds.
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 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.
You’ll study in the Sir William Henry Bragg Building which offers a wealth of facilities to support your learning. It has two custom-built teaching laboratories containing high-specification Linux machines – sufficient to complete all work asked of you on our programmes. In addition, the Sir William Henry Bragg Building houses our state-of-the-art research laboratories which are used by our internationally leading researchers and postgraduate students – and are available to students as part of their final year individual project.
There's also a number of social and collaborative study spaces which are available for you to use whenever the building is open. Whether you require a quiet place to work, or you thrive being in a busy stimulating environment there is a space suitable for you.
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 a variety of methods which are chosen to emulate real-life tasks or activities you are likely to encounter in a graduate career. This may include time-constrained assessments, laboratory practicals, reports, problem-solving worksheets, projects and presentations.
Where possible, assessment is designed to be contemporary with recent events and developments in computer science – making them interesting and relevant.
We use summative assessment, which contributes to your degree outcome, as well as formative assessment, which does not contribute to your degree outcome but provides an indication of performance. This combination allows you to become comfortable with the style of assessment and allows us to provide targeted additional support where it is required. Your work will be assessed by a member of academic staff who’ll provide feedback on what you did well, areas of improvement and stretch goals. This feedback may be in written or verbal form.
Our assessment approach is designed to be inclusive by default, however, we also make reasonable adjustments where required.
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.
D3, D3, D3 including Mathematics.
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, 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.
International Foundation Year
International students who do not meet the academic requirements for undergraduate study may be able to study the University of Leeds International Foundation Year. This gives you the opportunity to study on campus, be taught by University of Leeds academics and progress onto a wide range of Leeds undergraduate courses. Find out more about International Foundation Year programmes.
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.
UK: To be confirmed
International: To be confirmed
Tuition fees for UK undergraduate students starting in 2023/24 and 2024/25
Tuition fees for UK full-time undergraduate students are set by the UK Government and will remain capped at £9,250 for 2023/24 and 2024/25. The fee may increase in future years of your course in line with inflation only as a consequence of future changes in Government legislation and as permitted by law.
Tuition fees for international undergraduate students starting in 2023/24
Tuition fees for international students for 2023/24 are available on individual course pages.
Tuition fees for international undergraduate students starting in 2024/25
Tuition fees for international students for 2024/25 will be available on individual course pages from September 2023.
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.
Scholarships and financial support
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.
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 and advanced entry is not generally permitted.
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
This course is taught by
School of Computing Undergraduate Admissions
There’s a wealth of excellent job opportunities for graduate computer scientists – making it easy for you to choose your ideal career.
Our graduates are sought-after for their technical knowledge, industrial and commercial awareness, independence and proactiveness. Plus, University of Leeds students are among the top five most targeted by top employers according to The Graduate Market 2023, High Fliers Research.
From start-ups to international organisations and non-governmental organisations, the computing industry is always looking for computer science graduates to realise the next opportunity.
Our graduates find employment across a range of sectors including:
- Non-governmental organisations
- Government agencies
- Finance (& Finance Technologies)
- Public Authority
- Research & Development
At Leeds, we help you to prepare for your future from day one. Through the School of Computing’s extensive set of industrial contacts, you'll have the opportunity to network with local, national and international companies. The School has close links with regional employers who focus their recruitment efforts on the School.
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'll 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'll 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.
The University of Leeds and the South-West Jiaotong University have established a Joint School in Chengdu, China. There is an opportunity for you to complete a study abroad year at the Joint School in Chengdu without extending your duration of study.
This course offers you the chance to spend time abroad, usually as an extra academic year between years 2 and 3 which will extend your studies by 12 months.
Once you’ve successfully completed your year abroad, you'll be awarded the ‘international’ variant in your degree title which demonstrates your added experience to future employers.
Find out more at the Study Abroad website.
A placement year is a great way to help you decide on a career path when you graduate. You’ll develop your skills and gain a real insight into working life in a particular company or sector. It will also help you to stand out in a competitive graduate jobs market 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
- 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'll be awarded the ‘industrial’ variant in your degree title to demonstrate your added experience to future employers.
With the help of our dedicated Employability team and your academic personal tutor, you can find the right placement for you which will allow you to gain experience and will align with your future career aspirations.
Here are some examples of placements our students have recently completed:
- HP inc UK
- GlaxoSmithKline Research & Development
- UK Research & Innovation
Find out more about Industrial placements.
Rankings and awards
Student profile: Kieran Grayshon
The lecturers... are very enthusiastic about the content they are teaching. The passion they have for the subject reflects on students which therefore means that it is more engaging.Find out more about Kieran Grayshon's time at Leeds