University of East Anglia UEA
UCAS Code: G407 | Master of Computing (with Honours) - MCompu (H)
Entry requirements
A level
including one of the subjects listed below. Contextual offer: BBB including one of the subjects listed below. Accepted subjects: Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics. Science A-levels must include a pass in the practical element. Critical Thinking and General Studies are not accepted.
Access to HE Diploma
including 12 Level 3 credits in Mathematics, Computing, Physics, Electronics or Economics.
Principal subjects and A-level combinations are considered - please contact us.
International Baccalaureate Diploma Programme
including HL5 in Mathematics (Applications and Interpretation or Analysis and Approaches), Computing Science, Chemistry, Physics or Economics.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
in an IT, Engineering or Science based subject. Contextual offer: DDM in IT, Engineering or Science based subject. Please see UEA website for further information on accepted combinations. Excludes BTEC Public Services, BTEC Uniformed Services and BTEC Business Administration.
Scottish Advanced Higher
including Mathematics, Computing Science, Chemistry, Physics, Electronics or Economics.
Scottish Higher
including Mathematics, Computing Science, Chemistry, Physics, Electronics or Economics.
Obtain an overall Pass including an A in the core of the T Level and a Distinction in the Occupational Specialism. Acceptable subjects are: Science, Design Surveying and Planning for Construction, Digital Production Design and Development, Digital Business Services, Digital Support Services, Engineering, Manufacturing, Processing and Control, and Design and Development for Engineering and Manufacturing.
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
**Overview**
Learn to programme the future and gain a solid foundation in a range of computing fields, including managing and storing data for banks and businesses; creating and designing action-packed games; improving web usability and user experience, or developing next- generation apps, AI, robotics, cloud computing, big data and lots, lots more. This flexible course is ideal if you’re a digital native who already lives and breathes computing. You might like solving real-world problems, or coding your next-generation apps and websites, designing your own games, or building your own hardware.
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, Python, JavaScript, C and C++. You’ll explore the underlying principles of the subject and learn to adopt a logical, systematic approach to developing solutions to real-world problems.
All our computer science courses follow an identical structure in the first two years. This means that you can easily transfer between them if you decide you want to incorporate a year abroad, a year in industry or continue to Master’s level learning. In core modules, you’ll cultivate the essential skills of a computing professional. And in optional modules you’ll be able to sample some of the wide range of problems that arise in both research and industry. You’ll also gain transferable skills that will help your long-term development, such as working in teams, project management and presenting ideas.
You’ll benefit from our expertise in artificial intelligence (AI), machine learning, computer vision, graphics, computational biology, data science and speech processing, and software engineering and systems engineering. You’ll also learn from the latest research done at UEA. 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
IT industries are growing fast and provide various job opportunities each year. You can work as a software and computer games developer, data scientist, website designer or specialist in user experience (UX). You’ll also have huge career possibilities in cybersecurity, network and systems engineering.
**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.
Tuition fees
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The Uni
University of East Anglia UEA
School of Computing Sciences
What students say
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How do students rate their degree experience?
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Computer science
Teaching and learning
Assessment and feedback
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Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
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Computer science
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£27k
£34k
£38k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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