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University of Birmingham

Artificial Intelligence and Computer Science (with an Industrial Year)

UCAS Code: GG74

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

Entry requirements


A level

A,A,A

A level Mathematics grade A required. If you are taking any reformed science A levels, which include Biology, Chemistry and Physics taught from 2015, you must pass the practical element. General Studies or Critical Thinking not accepted.

Accepted in place of A levels with the following grade equivalencies: D2 = A*; D3 = A; M2 = B. Combinations of A levels and Principle subjects are accepted. NB required subjects must be offered (see A level Section)

International Baccalaureate Diploma Programme

32

6, 6, 6 required at Higher Level (including 6 in Mathematics), with a minimum of 32 points overall. We also require 5 in Standard Level English.

D*D* plus A-level Maths at grade A. BTEC Extended Diploma/Diploma qualifications will only be considered if accompanied by A level Mathematics.

Accepted in place of a non-required A level with the equivalent grade.

UCAS Tariff

144

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

82%
Applicants receiving offers

About this course


Course option

4.0years

Full-time | 2020

Subjects

Artificial intelligence

Computer science

Our Artificial Intelligence and Computer Science BSc with a year in industry will equip you with the skills to solve real-world problems whilst also offering you the chance to gain valuable industry experience which, in an ever-increasingly competitive graduate job market, will set you apart from the rest.

At the University of Birmingham our research expertise allows us to offer an unusually rich and innovative programme for undergraduate study which enables our students to leave us ready for a career path in industry or research. 100% of our students said that staff were good at explaining things and that they found the course intellectually stimulating (NSS, 2019). You will take part in an Artificial Intelligence (AI)-related team project in your second year where you will work in a team on a substantial AI-themed project that will require you to combine the design and implementation of state of the art AI algorithms with software engineering best practices.

Our four-year Artificial Intelligence and Computer Science BSc degree is structured to give you a thorough understanding of the field of computer science whilst providing you with the opportunity to develop a strong theoretical grounding in Artificial Intelligence with many opportunities to put this in to practice during the course and your industrial placement.

We know how competitive the graduate job market can be, that’s why you also learn computer programming in Java – a language widely used in business and industry that will ensure you stand out in future applications. During your time with us you will take part in group work which will allow you to develop key skills essential for both a career in industry and research.

Modules

A full breakdown of modules and credits are located on our website. This is accessed by clicking on the 'view course details' link towards the top of this page. From there you can access specific module information in the module section on the 'course details' tab.

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
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

University of Birmingham

Department:

School of 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.

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.

Artificial intelligence

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?

51%
UK students
49%
International students
76%
Male students
24%
Female students
83%
2:1 or above
7%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A*
A
A

Computer science

Teaching and learning

72%
Staff make the subject interesting
85%
Staff are good at explaining things
81%
Ideas and concepts are explored in-depth
87%
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

90%
Library resources
82%
IT resources
93%
Course specific equipment and facilities
69%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

55%
UK students
45%
International students
77%
Male students
23%
Female students
83%
2:1 or above
7%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A*
A
A

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.

Artificial intelligence

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.

£30,000
high
Average annual salary
98%
high
Employed or in further education
98%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

66%
Information technology and telecommunications professionals
5%
Sales, marketing and related associate professionals
4%
Information technology technicians
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.

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.

£30,000
high
Average annual salary
98%
high
Employed or in further education
67%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

65%
Information technology and telecommunications professionals
5%
Sales, marketing and related associate professionals
4%
Information technology technicians
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.

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.

£28k

£28k

£33k

£33k

£41k

£41k

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.

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.

£28k

£28k

£33k

£33k

£41k

£41k

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