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Brunel University London

Computer Science (Artificial Intelligence)

UCAS Code: G701

Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements


A level

B,B,B

Access to HE Diploma

M:45

in Computing or Engineering with at least 2 years work experience in computing or IT

International Baccalaureate Diploma Programme

30

Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)

H2,H3,H3,H3,H3

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

DD

in engineering or IT and an A level at grade B

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

D

in engineering or IT with A levels grade BB in any subject. Applicants with a BTEC in a different subject area should have at least one A level in Computing, IT, Maths, Physics or Engineering.

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

DDD

in a related subject

Scottish Advanced Higher

B,B,B

UCAS Tariff

120-144

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

76%
Applicants receiving offers

About this course


Course option

3years

Full-time | 2019

Subject

Artificial intelligence

Computer Science at Brunel is one of the largest research groups of its kind in the UK. We have a vibrant and multinational community of students, academics and researchers. Computers are the key feature of contemporary life across the world and at the heart of just about everything we do. Its difficult to think of a single thing you might do today that does not in some way incorporate computer technology. This is an innovative, fast-moving area of study, constantly breaking new ground. Consequently, there is strong demand for computing graduates in many commercial, industrial and public sector environments.Our Computer Science courses will teach you everything you need for a successful career in IT from programming and information systems to modules in mobile applications and artificial intelligence. During the first two years (Levels 1 and 2) youll study modules that are common to all our Computer Science degrees. In the third year, youll have the opportunity to choose a specialism that interests you. You can specialise in artificial intelligence, digital games and media, network computing or software engineering.Artificial intelligence can be found in modern games, financial trading systems and medical systems to enhance software solutions. On this course, youll learn a range of software application techniques designed to solve complex problems.Our Computer Science graduates enjoy excellent employment prospects. You might start out as a general analyst or programmer, or join a consultancy firm. These are often the first steps towards setting up your own business. Recent graduates have gone on to work for household names including Microsoft and Toshiba.

Modules

All Department of Computer Science undergraduates take the same courses in Year 1. In Year 2, you choose between Computer Science and Business Computing. Typical modules in year 1 Group Project, Introductory Programming, Data and Information, Information Systems and Organisations, Logic and Computation. Typically in year 2 Group Project, Software Development and Management, Usability Engineering, Algorithms and their Applications, Networks and Operating Systems. In year 3 is an optional work placement.Typically in year 4 Final Year Computer Science Project A substantial individual project you will research in-depth. If you’re taking a sandwich course it’s likely this project will be of interest to employers. Software Project Management, Advanced Topics in Computer Science, Artificial Intelligence. Optional modules are Software Engineering, Network Computing, Digital Media and Games. Visit our website to find out full list of modules.

Tuition fees

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

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£9,250
per year
International
£16,200
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Brunel University London

Department:

Computer Science

TEF rating:

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What students say


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.

Computing

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.


Who studies this subject and how do they get on?

79%
UK students
21%
International students
80%
Male students
20%
Female students
69%
2:1 or above
17%
Drop out rate

Most popular A-Levels studied (and grade achieved)

C
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.

Computing

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.

£29,000
high
Average annual salary
94%
med
Employed or in further education
86%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

58%
Information technology and telecommunications professionals
6%
Information technology technicians
5%
Business, research and administrative professionals
What do graduate employment figures really tell you?

Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Artificial intelligence

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

£29k

£29k

£33k

£33k

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.

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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