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University of East Anglia UEA

Computing Science with Study Abroad

UCAS Code: G409

Master of Computing - MCompu

Entry requirements


A level

A,B,B

including Mathematics. Science A-Levels must include a pass in the practical element.

Access to HE Diploma

D:30,M:15,P:0

including 12 Level 3 credits in Mathematics.

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

International Baccalaureate Diploma Programme

32

including Higher Level 5 in Mathematics

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

DDM

in an IT or Science based subject alongside grade B A-Level Mathematics. Excludes BTEC Public Services, BTEC Uniformed Services and BTEC Business Administration.

Scottish Advanced Higher

B,C,C

including Mathematics.

Scottish Higher

A,A,A,B,B

including A in Mathematics.

UCAS Tariff

128-153

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

About this course


Course option

4.0years

Full-time with time abroad | 2021

Subject

Computer science

**About This Course**

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 and web design, to artificial intelligence (AI), robotics, cloud computing, big data and lots more. In your third year you’ll get to take your learning on tour by spending the year studying overseas – expanding your academic horizons and experiencing a whole new culture.

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. You’re most likely passionate about the contribution computing can, and does, make to humanity, in everything from arts, culture and entertainment, to business, health, communications, and society as a whole. You avidly follow the exciting developments of the field in the press and on blogs, and you can’t wait to contribute your own ideas and creativity to this always-evolving sector.

**Overview**

This four-year degree with a period of study abroad (a year or a semester) 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. 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 will acquire a strong grounding in the theory of computing science, and will gain experience and skills in software engineering and problem solving. You will 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, data science and speech processing, as well as software engineering and systems engineering.

In your third year, you’ll get the academic and personal experience of a lifetime when you live and study abroad at one of our partner universities, either for the whole year or for a single semester. Choose from universities in the United States, Canada, Europe, Asia or Australia, each with its own strengths and research specialisms to expand your learning. This is also a chance to build contacts, learn about a different culture, and show future employers your resilience and adaptability.

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**

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
£20,200
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

TEF rating:
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.

78%
med
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

75%
Staff make the subject interesting
77%
Staff are good at explaining things
74%
Ideas and concepts are explored in-depth
84%
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

86%
Library resources
73%
IT resources
93%
Course specific equipment and facilities
56%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

86%
UK students
14%
International students
90%
Male students
10%
Female students
80%
2:1 or above
16%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
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.

£24k

£24k

£26k

£26k

£30k

£30k

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 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).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA).

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.

Have a question about this info? Learn more here

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