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University of Nottingham

Computer Science with Artificial Intelligence including International Year

UCAS Code: G4GA

Master of Science (with Honours) - Msci (Hon)

Entry requirements


A level

A,A,A

AAB - with A in Computer Science. General Studies, Critical Thinking and Citizenship Studies are not accepted.

Access to HE Diploma

D:30,M:15

Access in IT or Computing accepted, Access in Science or Technology will be considered.

Advanced Welsh Baccalaureate Skills Challenge Certificate

A

This qualification is only acceptable when combined with A Level grades AA (AB if taking Computer Science) or equivalent

Cambridge International Pre-U Certificate – Principal subjects

D3,M1,M1

D3. M1, M2 if taking Computing /Computer Science

International Baccalaureate Diploma Programme

34

32 points if taking Computer Science at Higher or Standard Level. 5 in Mathematics at Higher or Standard Level.

Irish Leaving Certificate - Higher Level

H1,H2,H2,H2,H2,H2

Pearson BTEC Level 3 National Certificate

D*,D*

BTEC IT or Computer Science accepted This qualification is only accepted when combined with either A Level grade A or BTEC Extended Certificate D*

Pearson BTEC Level 3 National Diploma

D*D*

BTEC IT or Computer Science accepted This qualification is only accepted when combined with either A Level grade A or BTEC Extended Certificate D*

Pearson BTEC Level 3 National Extended Diploma

D*D*D*

BTEC IT or Computer Science accepted

Pearson BTEC Level 3 National Foundation Diploma

D*,D*,D*

BTEC IT or Computer Science accepted

Scottish Advanced Higher

A,A

Plus Higher grades AAABB

Scottish Higher

A,A,A,B,B

Including Mathematics. This qualification is only accepted when combined with Advanced Higher grades AA.

UCAS Tariff

112-153

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

100%
Applicants receiving offers

About this course


Course option

4years

Full-time | 2018

Subjects

Artificial intelligence

Computer science

The School of Computer Science at the University of Nottingham is ranked among the top UK Computer Science departments and was voted by our students as the best School in the whole University in 2014! We provide a friendly, modern and supportive teaching environment which consistently leads to a high proportion of our students gaining excellent degree results. We offer specialist modules and exciting undergraduate project work based on our world-class research – we were ranked in the top 10 UK academic institutions in the latest Research Assessment Exercise. Our connections with employers such as Adobe Systems, BT, Google, IBM and Microsoft open up possibilities for an optional year in industry or summer placement. You will have the opportunity to undertake research in a variety of areas of computer science including: artificial intelligence, cloud computing; complex systems engineering and unconventional computing paradigms; data mining; functional programming; modern optimisation; simulation and modelling; and ubiquitous computation and networked infrastructures.

Modules

In your first year you will study: Programming and Algorithms; Computer Fundamentals; Systems and Architecture; Mathematics for Computer Scientists; Database and Interfaces; Software Engineering; Programming Paradigms; and Fundamentals of Artificial Intelligence. In your second year you will study: Software Engineering Group Project; Algorithm Correctness and Efficiency; Topics in Computer Science; Operating Systems Distributed/Parallel; Languages and Representations; Human Computer Interaction; Software Quality; and Artificial Intelligence Methods. In your third year you will study abroad at one of our partner universities currently including Australia, Hong Kong, Ireland, Mexico or New Zealand. In your fourth and final year you will opt to either write and individual or group project, and undertake many optional modules.

Tuition fees

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

Channel Islands
£10,750
per year
England
£9,250
per year
EU
£9,250
per year
International
£21,060
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

University of Nottingham

Department:

School of Computer Science

TEF rating:

Study in Nottingham

Explore the local area, what there is to do for fun, living costs and other university options here.

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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.

82%
high
Artificial intelligence
82%
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.

Computing

Teaching and learning

77%
Staff make the subject interesting
87%
Staff are good at explaining things
87%
Ideas and concepts are explored in-depth
90%
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
80%
IT resources
90%
Course specific equipment and facilities
81%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

44%
UK students
56%
International students
79%
Male students
21%
Female students
77%
2:1 or above
8%
Drop out rate
423

Computer science

Teaching and learning

77%
Staff make the subject interesting
87%
Staff are good at explaining things
87%
Ideas and concepts are explored in-depth
90%
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
80%
IT resources
90%
Course specific equipment and facilities
81%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

69%
UK students
31%
International students
84%
Male students
16%
Female students
77%
2:1 or above
6%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A
A
B
420

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.

£23,000
high
Average annual salary
91%
med
Employed or in further education
100%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

22%
Information technology and telecommunications professionals
16%
Business, finance and related associate professionals
14%
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.

£23,000
high
Average annual salary
90%
med
Employed or in further education
80%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

14%
Business, research and administrative professionals
13%
Information technology and telecommunications professionals
11%
Business, finance and related associate 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.

Computing

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£27k

£27k

£29k

£29k

£32k

£32k

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.

Have a question about this info? Learn more here

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