Computer Science with Artificial Intelligence including International Year
UCAS Code: G4GA
Master of Science (with Honours) - Msci (Hon)
Entry requirements
A level
AAB - with A in Computer Science. General Studies, Critical Thinking and Citizenship Studies are not accepted.
Access to HE Diploma
Access in IT or Computing accepted, Access in Science or Technology will be considered.
Cambridge International Pre-U Certificate - Principal
D3. M1, M2 if taking Computing /Computer Science
International Baccalaureate Diploma Programme
32 points if taking Computer Science at Higher or Standard Level. 5 in Mathematics at Higher or Standard Level, if no GCSE 5 (B) in Mathematics.
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
Pearson BTEC Level 3 National Certificate (first teaching from September 2016)
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 (first teaching from September 2016)
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 (first teaching from September 2016)
BTEC IT or Computer Science accepted
Pearson BTEC Level 3 National Foundation Diploma (first teaching from September 2016)
BTEC IT or Computer Science accepted
Scottish Advanced Higher
Plus Higher grades AAABB
Scottish Higher
Including Mathematics. This qualification is only accepted when combined with Advanced Higher grades AA.
Welsh Baccalaureate - Advanced Skills Challenge Certificate (first teaching September 2015)
This qualification is only acceptable when combined with A Level grades AA (AB if taking Computer Science) or equivalent
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
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
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The Uni
University of Nottingham
School of Computer Science
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Explore NottinghamWhat 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.
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
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
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.
Top job areas of graduates
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.
Top job areas of graduates
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.
£27k
£34k
£34k
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.
£27k
£34k
£34k
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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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.
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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
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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?
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