Course summary
Overview Learn to program the future and gain a solid foundation in a range of computing fields, including managing and storing data for banks and businesses, designing and creating action-packed game, improving web usability and user experience to developing next generation web apps via rapid prototyping, with application of predictive artificial intelligence (AI). You’ll also explore data science, machine learning, computer vision, graphics, computational biology, and speech processing, as well as secure software and systems engineering. This course is ideal if you’re a digital native who already lives and breathes computing, whether it’s through coding your own next generation apps and websites, designing your own games, or building your own hardware or solving industry problems using holistic computing techniques. About This Course This four-year degree with a year abroad will give you the chance to study your subject in depth, preparing you for an exciting career working with the rapidly changing technology of computing. Our students have a range of programming and mathematical backgrounds, so the course is structured to enable you to achieve the same level of understanding across the fundamental areas of the subject by the end of your first year. We emphasise the importance of practical skills, and our core modules will help you develop the skills essential to a career as a computing professional, while our optional modules will allow you to get to grips with the wide range of questions that arise in both research and industry. You’ll acquire a strong grounding in the theory of computing science, as well as gaining experience and skills in software engineering and problem solving. You’ll become a competent programmer in a range of modern general purpose languages such as Java, JavaScript. Python, C and C++. You’ll explore the underlying principles of the subject and learn to adopt a logical, systematic approach and use holistic techniques for developing solutions to real-world problems. You’ll also benefit from our particular expertise in artificial intelligence (AI), machine learning, computer vision, graphics, computational biology, data science and speech processing, as well as web, software engineering and systems engineering. You’ll follow the BSc programme structure for the first three years, gaining a solid foundation in programming, problem solving, and relevant mathematics and computing theory. Our common course structure means that it’s possible to transfer between our BSc Computing Science, BSc Computing Science with a Year in Industry, and MComp in Computing Science with Study Abroad courses. If, for any reason, you decide not to continue to year four, or wish to take a year in industry instead, you can transfer to the relevant BSc course at any point in your first three years. Disclaimer Course details are subject to change. You should always confirm the details on the provider's website: www.uea.ac.uk
How to apply
You can no longer submit a new application for courses starting in 2024.
If you already have a 2024 application and are in Clearing, you can add this course as a Clearing choice – contact the university or college first to check they have places.
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G409
- Institution code:
- E14
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - AAB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDD
Access to HE Diploma - D: 36 credits M: 9 credits
Scottish Higher - AAAAA
Scottish Advanced Higher - BBC
International Baccalaureate Diploma Programme - 33 points
Cambridge International Pre-U Certificate - Principal
T Level
GCSE Requirements: GCSE English Language grade C/4 and GCSE Mathematics grade B/5. We welcome a wide range of qualifications and combinations of qualifications - for further information please contact us at https://www.uea.ac.uk
Please click the following link to find out more about qualification requirements for this course
English language requirements
Test | Grade | Additional details |
---|---|---|
IELTS (Academic) | 6 | IELTS: 6.0 overall (minimum 5.5 in each component) |
We welcome applications from students from all academic backgrounds. We require evidence of proficiency in English (including speaking, listening, reading and writing) We will also accept a number of other English language qualifications. Please check our website for details: https://www.uea.ac.uk/apply/our-admissions-policy/english-language-equivalencies
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
Channel Islands | £9250 | Year 1 |
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
International | £26100 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of East Anglia UEA
Norwich Research Park
Norwich
NR4 7TJ