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University of Sheffield

Artificial Intelligence and Computer Science with a Year in Industry

UCAS Code: GG75

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

Entry requirements


A level

A,A,A

including Mathematics or AAB including A in Maths and Computer Science

Access to HE Diploma

D:39,M:6,P:0

60 credits overall with 45 at level 3 including 39 at Distinctions and 6 at Merit to include Mathematics Applicants are considered individually.

Cambridge International Pre-U Certificate - Principal

D3,D3,D3

including Mathematics

Extended Project

B

plus grades AAB including Mathematics or B plus grade ABB including Mathematics and Computer Science The Extended Project should be in a relevant subject

GCSE/National 4/National 5

GCSE English at grade C of grade 4.

International Baccalaureate Diploma Programme

36

including 6 in Higher Level Mathematics or IB 34 including 6 in Higher Level Mathematics and Computer Science

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

H2,H2,H2,H2,H2,H2

including Mathematics

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

DD

in Engineering, IT or Computing plus A in A Level Mathematics

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

DDD

in Engineering, IT or Computing plus A in A Level Mathematics

Scottish Higher

A,A,A,A,B

plus grade A in Mathematics in Scottish Advanced Higher

Welsh Baccalaureate - Advanced Skills Challenge Certificate (first teaching September 2015)

A

plus grades AA including A-level Mathematics or B plus AA including Mathematics and Computer Science

UCAS Tariff

144-159

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

94%
Applicants receiving offers

About this course


Course option

4.0years

Sandwich | 2020

Subjects

Artificial intelligence

Computer science

Computer science at Sheffield is a rare blend of advanced science, business experience and creativity. This is the only computer science department in the UK with its own student-run software company – Genesys Solutions. You will get the chance to work for Genesys as part of your course. Teaching staff are experts in iPhone, Android and VR technology. Guest lecturers come from IBM, Microsoft and HP.

Sheffield is a great place to learn about AI because we encourage a deep understanding of biologically inspired algorithms, their relationship to biological intelligence and the nature of consciousness itself. The BSc is a good choice if you want a shorter course – it gives you extensive work experience and a solid degree in just four years.

The department has a dedicated member of staff who will help you arrange your work placement. During the placement year, you will be paid a salary as you put your knowledge to practical use and improve your career prospects. Our graduates are consultants and software engineers with companies including Accenture, Amazon, Deutsche Bank, Google, HSBC, IBM, Microsoft, Snapchat and Reuters.

Tuition fees

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

England
£9,250
per year
International
£23,750
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

Extra funding

The University of Sheffield Bursary is available to home students who have a household income of £40,000 or less. You may also be eligible for an additional £250 per year depending on your postcode and grades. We use the details you submit to Student Finance and UCAS to assess your eligibility for a bursary. You don’t need to apply; if you’re eligible you’ll receive an award for each year of your course. If you're a care leaver, care for an ill or disabled family member or are estranged from your parents or guardian you may be eligible for an enhanced bursary of £4,500 per year. The University also offers a number of scholarships to help you fund your studies and enhance your learning experience. Use our Student Funding Calculator to check what funding your could be eligible for - www.sheffield.ac.uk/funding/calculator. Further information - www.sheffield.ac.uk/undergraduate/fees-funding

The Uni


Course location:

University of Sheffield

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.

83%
high
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?

39%
UK students
61%
International students
73%
Male students
27%
Female students
83%
2:1 or above
4%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A
B
A

Computer science

Teaching and learning

83%
Staff make the subject interesting
90%
Staff are good at explaining things
82%
Ideas and concepts are explored in-depth
86%
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

85%
Library resources
78%
IT resources
90%
Course specific equipment and facilities
66%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

57%
UK students
43%
International students
82%
Male students
18%
Female students
81%
2:1 or above
8%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A
B
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.

£27,000
med
Average annual salary
92%
med
Employed or in further education
55%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

79%
Information technology and telecommunications professionals
3%
Engineering professionals
2%
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.

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.

£27,000
med
Average annual salary
91%
med
Employed or in further education
78%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

80%
Information technology and telecommunications professionals
3%
Business, research and administrative professionals
3%
Production managers and directors
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.

£26k

£26k

£33k

£33k

£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.

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

£33k

£33k

£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.

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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