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Computing Science

Entry requirements


A level

A,A,B

including one A-Level in 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

D:36,M:9

including 12 Level 3 credits in Mathematics, Computing Science, Physics, Electronics or Economics.

Principal subjects and A-level combinations are considered - please contact us.

International Baccalaureate Diploma Programme

33

including Higher Level 5 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)

DDD

in an IT, Engineering or Science based subject. Excludes BTEC Public Services, BTEC Uniformed Services and BTEC Business Administration. Please see UEA website for further information on accepted combinations.

Scottish Advanced Higher

B,B,C

including Mathematics, Computing Science, Chemistry, Physics, Electronics or Economics.

Scottish Higher

A,A,A,A,A

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

136-165

We've calculated how many Ucas points you'll need for this course.

About this course


Course option

4years

Full-time | 2024

Subject

Computer science

**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 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, JavaScript, 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 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**

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

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
International
£26,100
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

University of East Anglia UEA

Department:

School of Computing Sciences

Read full university profile

What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

73%
Computer science

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Computer science

Teaching and learning

70%
Staff make the subject interesting
83%
Staff are good at explaining things
76%
Ideas and concepts are explored in-depth
82%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

81%
Library resources
88%
IT resources
89%
Course specific equipment and facilities
51%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

90%
UK students
10%
International students
89%
Male students
11%
Female students
88%
2:1 or above
11%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
C
C

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

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.

£25,000
med
Average annual salary
97%
high
Employed or in further education
89%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

70%
Information technology and telecommunications professionals
7%
Engineering professionals
4%
Teaching and educational professionals

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

£27k

£34k

£34k

£38k

£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.

Explore these similar courses...

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Lower entry requirements
University of Leicester | Leicester
Computer Science
MCompu (H) 4 Years Full-time 2024
UCAS Points: 128-152
Same University
University of East Anglia UEA | Norwich
Computing Science
MCompu (H) 3 Years Full-time 2024
UCAS Points: 128-153

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This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

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This is the percentage of applicants to this course who received an offer last year, through Ucas.

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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

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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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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

Have a question about this info? Learn more here

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?

Have a question about this info? Learn more here