Computer Science with Artificial Intelligence
UCAS Code: G4G7
Bachelor of Science (with Honours) - BSc (Hons)
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
or 34 points with 6 in HL Computer Science 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 Extended Diploma (QCF)
IT or Computer Science pathway required
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
This qualification is only accepted when combined with A Level grade A
Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)
This qualification is only accepted when combined with A Level grades AA
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
IT or Computer Science pathway required
Scottish Advanced Higher
Plus Higher grades AAABB including Mathematics
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
Study a degree specialised in Artificial Intelligence. This course will focus on advanced areas of artificial intelligence giving you expert knowledge in this field. You will explore topics such as user experience design, autonomous systems and machine learning. This tailored programme will give you key skills and knowledge to help start a career in an increasingly innovative industry.
You'll also study the fundamental areas of computer science. Our teaching and modules are linked to our own specialised research groups, giving you a wide range of optional modules to choose from. This also means you will be taught by experts in their field who use their own active research to support their teaching. You may recognise some of our tutors from the Computerphile YouTube series.
To help support our students, we offer an Excellence in Computer Science scholarship which ranges from 10-50% off your tuition fees.
In year two, you'll take part in a group project which involves designing and creating innovative computer systems. Many projects are in collaboration with industry. Previous students have worked with Capital One, Experian, IBM and UniDays. All these companies have offices in Nottingham. This project is great for your CV and can help you make contacts ready for when you start your career.
This course is Accredited by the British Computer Society. You will have the flexibility to transfer between computer science courses after your first year. This can include courses with an international year or a year in industry.
Modules
The first year of this course will introduce you to the core aspects of computer science and artificial intelligence, including programming and algorithms, databases, and mathematics for computing. During your second year, you will build on this base of knowledge with further core and a range of optional modules, including image processing, human computer interaction, and application design. Your third year focuses on an individual dissertation in a topic of your choice, as well as a further selection of advanced computer science modules.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
University Park Campus
School of Computer Science
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.
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
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)
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)
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.
Top job areas of graduates
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.
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
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.
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.
£28k
£38k
£37k
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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Teaching Excellence Framework (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).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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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.
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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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