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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 a related subject

Cambridge International Pre-U Certificate - Principal

M2,M2,M2

GCSE/National 4/National 5

A minimum of 5 GCSEs at grade C or grade 4 and above are required, including English Language and Mathematics

International Baccalaureate Diploma Programme

30

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

H2,H3,H3,H3,H3

OCR Cambridge Technical Diploma

DD

in a related subject and an A level at grade B

OCR Cambridge Technical Extended Certificate

D

in a related subject with A levels grade BB in any subject.

OCR Cambridge Technical Extended Diploma

DDD

in a related subject

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

DD

in a related subject and an A level at grade B

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

D

in a related subject with A levels grade BB in any subject.

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.

86%
Applicants receiving offers

About this course


Course option

3.0years

Full-time | 2020

Subject

Computer science

Handling large amounts of data efficiently and quickly is becoming an increasingly important aspect of computing; businesses need to understand trends in data which will allow them to make informed and timely decisions. Artificial intelligence (AI) and the techniques it embraces provide opportunities for this to happen and to make sense of big data.

Qualified graduates with the skills and ability in AI to take advantage of these opportunities are in great demand. Brunel’s Computer Science (Artificial Intelligence) BSc, will expose you to the foundations, theory and practical aspects of computer science and AI.

You’ll gain a good understanding of computer science and a grasp of the important elements of a computer system. You’ll also learn how to build different types of software, from web-based systems to mobile solutions.

By specialising in AI you’ll develop a range of techniques which can be applied in software to solve complex problems. AI is inherent in modern games, financial trading systems and medical systems and enhances the software solutions in each of these areas.

You’ll be confident in your knowledge of the nature, diversity and limitations of software artefacts (or programs) that display apparently intelligent behaviour, understand a range of machine learning paradigms, and be able to apply them to the production of innovative and useful artefacts.

Our course is designed for flexibility, so if you’re not sure which route you want to go, you can select modules and specialise gradually during your time with us. You can transfer between Computer Science and Business Computing up to the start of Level 2, then, should you wish, to choose a specialism up to the start of Level 3.

We know that when you graduate, you’ll be working on large projects. That’s why one third of each year of our programmes is project-based. On Levels 1 and 2, you’ll build a software solution in a team, and in your final year you’ll carry out an individual project. You’ll also have the opportunity to showcase your projects at the annual Made in Brunel (Software Innovation) event, with awards presented by the likes of Cisco, Sky and Xerox.

As part of your degree course, you’ll have the chance to take a year-long work placement between your second year and third year. We’ll support you in finding that all-important paid professional experience, in the UK or abroad. The feedback we’ve received is that those who have taken a placement are much more likely to find a job for which their degree was a formal requirement as it gives you a competitive advantage. Recent graduates have gone on to work for well-known names such as Accenture, Toshiba, Microsoft, British Airways, O2, and Barclays.

Our programmes are accredited by the British Computer Society, the Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional (CITP), and on behalf of the Engineering Council, for the purposes of fully meeting the academic requirement for Incorporated Engineer (IEng) and partially meeting the academic requirement for a Chartered Engineer (CEng).

The accreditation also allows you to apply for professional membership of the BCS after you have successfully completed your degree.

The department has been awarded an Athena SWAN Bronze, recognising our dedication to the advancement of gender equality in STEM subjects. We now have an ongoing three-year action plan to further implement strategies and improve our practices. As part of this endeavour, Brunel’s Women in Engineering and Computing mentoring scheme provides our female students with invaluable help and support from the industry.

Modules

Typical Modules

Year 1
Data and Information
Information Systems and Organisations
Introductory Programming
Level 1 Group Project
Logic and Computation

Year 2
Algorithms and their Applications
Graduate Development
Level 2 Group Project
Networks and Operating Systems
Software Development and Management
Usability Engineering

Year 3
Core Modules
Advanced Topics in Computer Science
Artificial Intelligence
Computer Science Project

Optional Modules
Cybersecurity
Digital Media and Games
Human-Computer Interaction
Network Computing
Software Engineering
Software Project Management

See the Brunel website for more information.

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
£16,850
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


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.

72%
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
81%
Staff are good at explaining things
75%
Ideas and concepts are explored in-depth
77%
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

77%
Library resources
74%
IT resources
82%
Course specific equipment and facilities
62%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

77%
UK students
23%
International students
84%
Male students
16%
Female students
69%
2:1 or above
14%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
B

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.

£29,000
high
Average annual salary
92%
med
Employed or in further education
94%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

61%
Information technology and telecommunications professionals
7%
Information technology technicians
6%
Business, research and administrative professionals
What do graduate employment figures really tell you?

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.

£26k

£26k

£30k

£30k

£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 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:

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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.

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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