Computing is critical to all areas of modern life. This course will give you insight into key theoretical aspects of the subject but also places great emphasis on the practical skills needed to develop computing infrastructure and solve computational problems in areas such as engineering, healthcare and the business world.
You'll learn the fundamentals of software development and how to build secure and efficient systems for desktop, web and mobile environments. You will also be able to develop skills in more specialized areas such as data science, cloud computing and robotics.
A wide range of optional modules are available, allowing you to study topics that relate to your own interests and career ambitions. You'll also undertake project work at every level of the course, equipping you with the problem-solving and team-working skills that you will need in 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.
Your first year will introduce you to the foundations of the subject. You will study the basic principles of programming, develop your mathematical skills and learn about computer architecture. Optional modules will introduce you to fundamental web technologies.
Year 2 will build on this knowledge base, taking you deeper into more theoretical areas such as algorithms and artificial intelligence whilst also giving you practical skills in software engineering and user interface creation. Options at this level cover topics such as data mining and the development of fully-fledged web applications tailored for mobile environments and social media.
In Year 3 you will have a much wider choice of modules, giving you the chance to study specialist areas such as data analytics and visualization, security, distributed systems, mobile computing and robotics. You will also undertake a major individual project – an opportunity for you to specialise in an area of your choice, working for an extended period with a member of academic staff.
If you study the MEng qualification, you will continue into Year 4. Options available here cover advanced topics drawn from our research strengths, including big data systems, machine learning, semantic technologies and cloud computing. You will take part in a substantial group project on a specific engineering problem that allows you to apply everything you’ve learned during the course, and you can choose to undertake a further individual research project.
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
- Operating Systems 10 credits
- Networks 10 credits
- Formal Languages and Finite Automata 10 credits
- Artificial Intelligence 10 credits
- Algorithms and Data Structures I 10 credits
- User Interfaces 10 credits
- Requirements Engineering 10 credits
- Systems Thinking 10 credits
- Software Engineering 20 credits
- Web Application Development 10 credits
- Social and Mobile Web Application Development 10 credits
- Data Mining 10 credits
- Numerical Computation 10 credits
- Algorithms and Data Structures II 10 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
- Intelligent Systems and Robotics 20 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
- Group Project 30 credits
- Big Data Systems 15 credits
- Bio-Inspired Computing 15 credits
- Knowledge Representation and Reasoning 15 credits
- Systems Programming 15 credits
- Parallel and Concurrent Programming 15 credits
- Cloud Computing 15 credits
- Semantic Technologies and Applications 15 credits
- Image Analysis 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 excluding General Studies.
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.
GCSE: English Language at grade C or above (or an appropriate English language qualification), plus grade B or above in Mathematics.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 and GCSE Mathematics grade B or above.
35 overall (18 higher level, including 6 points in either standard level Mathematics or Computing).
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.
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.
We accept a range of international equivalent qualifications.
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:
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 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.
UK/EU: See fees section below
International: £19,000 (per year)
For UK and non-UK EU students starting in 2017, the fee for 2017/18 will be £9,250, subject to parliamentary approval of changes to higher education funding. We anticipate that we will be able to confirm the 2017 fee in late 2016.
The fee may increase in future years of your course, as permitted by law. Although the basis of future fee increases is not guaranteed, we expect the government to allow fees to increase in line with inflation. For example, the increase of 2.8% for 2017/18 was based on the governments forecast for the RPI-X measure of inflation.
The UK government has confirmed that non-UK EU students starting in 2017 will have home fee status and be eligible for UK government student loans for the duration of their course. Read the full government statement
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
Graduates from the School of Computing have excellent job prospects. With the continuing application of computer technologies, rapid growth of hardware and software technologies, their allied industries, and widespread application, the demand for our graduates is set to continue for the foreseeable future.
90% of our recent graduates have gone on to work or further study within six months of graduating. Our graduates find employment in the IT industry, ranging from start-ups to international organisations, and across a range of other sectors including technology, retail, finance, public authorities and consultancies. We have graduates working for example at Barclays, BT Group – Openreach, CSC, EMIS, Ernst & Young, Fujitsu, Goodrich ISR Systems, Imagination Technologies, Microsoft and PepsiCo.
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.
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 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