Computing underpins modern life, and the link between current research in computing and commercial product is critical to the continuing success of the IT industry. This course 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’ll start with the fundamentals of programming and the underlying mathematical principles of computer science, before developing skills in software engineering and algorithm design and exploring challenges in cloud and mobile computing and robotics and graphics that will shape the future. You’ll learn to work with state of the art technologies and select optional modules that suit your interests and career plans, from cloud computing to bio-computation and machine learning.
You’ll be taught by experts in world-class facilities and undertake project work in every year, to build the range of skills you’ll need throughout your professional 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.
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.
Our courses in Computer Science, Computer Science with Artificial Intelligence and Computer Science with Distributed Systems all 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.
Year 2 allows you to deepen and broaden your knowledge of computer science, with core modules introducing you to topics such as artificial intelligence and developing your understanding of algorithms and operating systems. You’ll also select optional modules to focus on topics that suit your interests or career plans, such as data mining or web application development.
You’ll build on this in Year 3, when you’ll have far greater choice in your optional modules. You could study robotics, build your skills in computer graphics or mobile app development, or explore cryptography and the challenges of secure computing among others.
If you continue onto Year 4 to gain the MEng qualification, you can also select modules on topics such as natural language processing, knowledge representation or bio-computation, and you’ll take part in a substantial group project on a specific engineering problem that allows you to apply everything you’ve learned during the course.
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
- 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 20 credits
- Web Application Development 10 credits
- Social and Mobile Web Application Development 10 credits
- Data Mining 10 credits
- Requirements Engineering 10 credits
- Systems Thinking 10 credits
- Research Project 60 credits
- Mobile Application Development 10 credits
- Machine Learning 10 credits
- Intelligent Systems and Robotics 20 credits
- Information Visualization 10 credits
- User Adaptive Intelligent Systems 10 credits
- Data Mining and Text Analytics 10 credits
- Computer Graphics 10 credits
- Distributed Systems 10 credits
- Combinatorial Optimisation 10 credits
- Secure Computing 10 credits
- Parallel Scientific Computing 10 credits
- Graph Algorithms and Complexity Theory 10 credits
- Functional Programming 10 credits
- Group Project 30 credits
- Data Mining and Visualization 15 credits
- Bio-Inspired Computing 15 credits
- Systems Programming 15 credits
- Advanced Distributed Systems 15 credits
- Mobile Application Development 15 credits
- Knowledge Representation and Machine Learning 15 credits
- Data Mining and Text Analytics 15 credits
- Cloud Computing 15 credits
- Semantic Technologies and Applications 15 credits
- Image Analysis 15 credits
- Scientific Visualization 15 credits
- Scheduling 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 benefit from our integrated style of learning and teaching. Laboratory classes, project work, and industrial visits allow you to gain first-hand experience investigating and applying material from your lectures and tutorials to real life work situations. 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. Our close links with industry also mean that you have direct contact with industry and potential employers from an early stage in your course.
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 including Mathematics or Computing, excluding General Studies.
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 including D in Further Mathematics.
35 overall (18 higher including 5 points at higher level in Mathematics).
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 October.
The fee may increase in future years of your course, as permitted by law.
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.
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 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. Many have launched careers as software developers and engineers, mobile solution engineers, technology consulting analysts, production project managers and business system analysts at organisations like Amazon, BAE Systems, Barclays, BT, Deloitte, Gazprom, GlaxoSmithKline, IBM, IG, Microsoft, Saudi Aramco, Toshiba Research Europe and Transport for London.
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