Course summary
Overview Learn to program the future and prepare to excel in a range of computing fields, from the information systems of banks and businesses, to the creativity of gaming, web usability and rapid prototyping, to artificial intelligence (AI). You’ll also explore machine learning, computer vision, graphics, computational biology, data science and speech processing, as well as 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 apps and websites, designing your own games, or building your own hardware. Our students have a wide range of prior experience, with most being competent programmers who understand the underlying principles of the subject and can adopt a logical, systematic approach to developing solutions for real world problems. About This Course This four-year degree will give you the chance to study your subject in true 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. 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. During your four years of study, you’ll acquire a strong grounding in the theory of computing science, and will gain 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, Python, C and C++. You’ll explore the underlying principles of the subject and learn to adopt a logical, systematic approach 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 software engineering and systems engineering. In your fourth year, you will study at Master’s level to deepen your knowledge and specialise in the areas that interest you most. You’ll explore more advanced computing subjects and strengthen your research and analysis skills. Disclaimer Course details are subject to change. You should always confirm the details on the provider's website: www.uea.ac.uk
Modules
In Year 1 you will study a range of compulsory topics which will provide you with a strong foundation in computing, such as Java programming, Databases and Computing Principles. In Years 2 and 3, you will study a combination of compulsory and optional modules. Compulsory modules include Programming, Software Engineering and Operating Systems and Architectures. Optional modules include Computer Graphics, Computer Vision and Sound and Image Processing. Your final year of study is distinctive (as part of a four year course programme) because you will have the opportunity to apply all the research techniques you will have gained over the last three years in order to complete a significant independent research project. You will also have the opportunity to select advanced modules that complement your area of research.
How to apply
You can no longer submit a new application for courses starting in 2023.
If you already have a 2023 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:
- G407
- 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
GCSE Requirements: GCSE English Language grade 4 or C and GCSE Mathematics grade 5 or B. We welcome a wide range of qualifications - for further information please contact us at https://www.uea.ac.uk/study/enquiries
Please click the following link to find out more about qualification requirements for this course
https://www.uea.ac.uk/course/undergraduate/mcomp-computing-science/2023-24/sep#entry_requirements
English language requirements
Test | Grade | Additional details |
---|---|---|
IELTS (Academic) | 6 | 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.
Unistats information
The student satisfaction data is from students surveyed during the Covid-19 pandemic. 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
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
Channel Islands | £9250 | Year 1 |
International | £24400 | Year 1 |
Additional fee information
Provider information
University of East Anglia UEA
Norwich Research Park
Norwich
NR4 7TJ