Computer Science with Artificial Intelligence MEng, BSc

(Full time) 2019 start

Course information for 2018 start

Overview

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

Specialist facilities

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.

Course content

Our courses in Computer Science, and Computer Science with Artificial Intelligence 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.

Projects

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

Details of typical modules/components for this course will be published on May 1st. These may change from time to time. Read more in our Terms and conditions.

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.

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, fees and applying

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.

Due to the competitive nature of this course, the Admissions team may take a variety of factors into account when assessing applications. Please read the admissions statement for further information.

Extended Project Qualification - Whilst we recognise the value, effort and enthusiasm applicants make in the Extended Project, we do not currently include this as part of our offer making. We do however encourage you to provide further information on your project in your personal statement and if invited, at interview.

GCSE: English Language at grade C (4) or above, or an appropriate English language qualification.

Other course specific tests:

Lower offers may be made based on demonstrated interest and aptitude for the subject (typically AAB). Where Maths or Computing are required this must be at grade A.

  • 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.

  • BTEC

    D*D*D with Distinctions in all Mathematics units. Mathematics units must usually include Further Maths and/or other appropriate Maths units. Some may be optional on your BTEC but are required by the Faculty. Please contact us for further information.

  • Cambridge Pre-U

    D3, D3, D3 including Mathematics.

  • International Baccalaureate

    35 points overall, with 18 points at higher level including 5 points at higher level in either Mathematics or Computing. If only Computing is offered from the IB, Grade B or above in GCSE Mathematics 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.

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 BSc Studies in Science for students without a science background at A-level and an Interdisciplinary Science Foundation Year for applicants who meet specific widening participation criteria.

International

We accept a range of international equivalent qualifications.

Foundation year

If you have the ability to study for a degree but don’t have the qualifications to enter directly to level one, you might consider studying a foundation year. We have formal links with the following foundation year programmes:

- University of Leeds International Foundation Year (IFY)

- Northern Consortium of UK Universities (NCUK)

- Study Group Leeds International Study Centre (LISC)

If you are applying from an alternative foundation year provider, please contact our admissions team to find out if your qualification is suitable for entry to our courses.

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.

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 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.

Next steps

Suitable applicants will be invited to an applicant day, for which we encourage attendance, as this gives you the opportunity to meet our students, academic 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.

During the day you’ll have a discussion with an academic member of staff, to 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

After you apply we will send you a link to book your place on the applicant day, but please let us know as soon as possible if you cannot attend, so your place can be allocated to another applicant.

Admissions policy

Faculty of Engineering Undergraduate Admissions Policy

Fees

UK/EU: To be confirmed

International: To be confirmed

For UK and non-UK EU full-time students starting in 2018, the fee for 2018/19 will be £9,250. 

The fee for undergraduate students starting in 2019 will be confirmed in September 2018.

The fee may increase in future years of your course in line with inflation, and as permitted by law. For example, the increase of 2.8% in 2017/18 was based on the government’s forecast for the RPI-X measure of inflation.

The UK government has confirmed that non-UK EU students in 2018-19 will have home fee status and be eligible for UK government student loans. The UK government has not confirmed the situation for future years, so keep checking our website for updates.

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.

Financial support

The School of Computing offers a range of scholarships for Home, EU and International students.

Scholarships for 2019 entry are to be confirmed.

Career opportunities

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

Careers Support

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

Study abroad

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.


Work placements

With the help and support of our faculty Employability Team, you can choose to undertake an 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.

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

Course terms and conditions