Computer Science with Artificial Intelligence MEng, BSc

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 £5.5m 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.

Course highlights

• Our courses are shaped by our world-leading research in areas such as artificial intelligence, computational science and engineering, computational medicine and distributed systems.

• We’re a partner of the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.

• During your project work you will access specialist facilities and laboratories in the brand new Sir William Henry Bragg Building.

• Small tutorial groups are used to support the teaching, so you get regular feedback from the academic staff helping you solve any problems that you might have with a particular topic.

Specialist facilities

You will 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.

Find out more about our facilities.

Enhancing your degree

During your time at Leeds, you can decide to study abroad or undertake an industrial placement.

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.

Accreditation

This course is accredited by the 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. An accredited computer science course must meet the quality standards set by the 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.

In this course, you will develop industry-standard skills in computer programming, architecture, mathematics and security, with a focus on artificial intelligence and its applications. Beginning with a focused curriculum of modules in core computer science concepts, you will 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.

Year one

Our courses in Computer Science, Computer Science with Artificial Intelligence and Computer Science with High-Performance Graphics and Games Engineering 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.

Year two

In year two, 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.

If you are studying a BSc, you may decide to take an additional industrial placement or study abroad year in between the second and third year of your degree.

Year three

There are fewer compulsory modules in your third year, 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 are studying an MEng, you may decide to take an additional industrial placement or study abroad year in between the third and fourth year of your degree.

Year four (MEng)

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.

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

Project work

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.

Ethics

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.

Course structure

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

For more information and a full list of typical modules available on this course, please read Computer Science with Artificial Intelligence BSc in the course catalogue

Modules

Year 1

Year 2

Year 3

Year 4

Discovery modules

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.

Watch our taster lectures to get a flavour of what it’s like to study at Leeds:

• Autonomous Robotic Manipulation

• From Computing on the Cloud to the Edge

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.

Assessment

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

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.

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.

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.

• 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.

• BTEC

  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.

• Cambridge Pre-U

  D3, D3, D3 including Mathematics.

• International Baccalaureate

  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 Highers (Leaving Certificate)

  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.

• Other Qualifications

  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 School’s Undergraduate Admissions Team.

Alternative entry

We’re 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.

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.

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.

Read our admissions guidance and see ‘application decisions’ for details.

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 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.

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 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.

Visit days

If you receive an offer to study with us, we’ll invite you to attend one of our applicant days. You’ll have the opportunity to meet our academic staff and students, explore the School and University and find out more about your course and what it’s like to be a student at Leeds.

Admissions policy

University of Leeds Taught Admissions Policy 2022

Fees

UK: See fees section below

International: £24,250 (per year)

UK undergraduate tuition fees for 2021 entry 
For UK full-time students starting in 2021, the fee for 2021/22 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 UK government and may vary if policy changes.

EU students starting in 2021/22 
EU students starting their course in the 2021/22 academic year or later will now be classed as international students and so will need to pay the international student tuition fee.

UK undergraduate tuition fees for 2022 entry
Tuition fees for UK full-time undergraduate students starting in 2022/23 have not yet been confirmed by the UK government. In other years, the government has confirmed fee levels in the summer. When the fee is confirmed we will publish an update on all course pages.

Tuition fees for new international students for 2022 entry
Tuition fees for international students are published on each individual course page. These are usually published a year in advance, so 2022 course fees should be available from September 2021.

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.

Brexit 
Visit our Brexit page for the latest information on the effect of the UK's exit from the EU on current students and applicants to the University.

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

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.

A degree from Leeds and the experience you'll gain here will give you the edge to find the career you want. Your course will give you the experience and knowledge that employers are looking for to help you secure a graduate job.

University of Leeds students are among the top 5 most targeted by top employers according to The Graduate Market 2021, High Fliers Research.

Artificial intelligence is an increasingly important discipline in modern society, with applications ranging from medical diagnosis to robotics, transportation, finance, internet search and energy provision. 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. Recent graduate destinations include:

• Barclays

• BT Group – Openreach

• CSC

• EMIS

• Ernst & Young

• Fujitsu

• Goodrich ISR Systems

• Imagination Technologies

• Microsoft

• PepsiCo.

Read our alumni profiles to find out more about where our students are working.

Careers support

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.

Visit our Careers and employability page to find out more.

There are also plenty of exciting ways you can volunteer during your time at Leeds. Find out more at the Leeds University Union website.

Study abroad

On this course you have the opportunity to apply to spend time abroad, usually as an extra academic year. We have over 300 University partners 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.

The optional study abroad year takes place between years two and three for the BSc degree or three and four for the MEng degree, and will extend your studies by 12 months. You will return to Leeds to complete your final year of study.

Work placements

Practical work experience can help you decide on your career and improve your employability. On this course you have the option to apply to take a placement year module with organisations across the public, private and voluntary sectors in the UK, or overseas.

Find out more about work experience on the Careers website.

An industrial placement year is a great way to help you decide what kind of career you might like when you graduate. As well as giving you the opportunity to develop your skills, you’ll gain a real insight into working life in a particular company or sector.

With the help and support of our dedicated Employability team, you can choose to undertake a salaried industrial placement year at one of the 100+ companies that we work with. 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.

Below are examples of placements our students have recently completed:

• Expedia Group

• NHS Digital

• X-Lab Systems

• Amazon Data Services

• Pulse Secure

• GE Aviation

• Sophos

• Plymouth Marine Laboratory

During your industrial placement you will have an industrial supervisor from within the company, plus an academic supervisor who will keep in touch throughout your placement.

Find out more about Industrial placements.