University of Sussex
UCAS Code: G42F | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
You will also need GCSE (or equivalent) Mathematics, with at least grade 6 (or grade B). We will also consider applicants with grade 5 in Mathematics if you are taking A-level Computer Science, Chemistry, Maths or Physics. You should also have a broad range of GCSEs grade 9-4 (A*-C), including good grades in relevant subjects.
Pass Diploma with at least 39 level 3 credits at Merit or above including 24 credits at Distinction. The Access to HE Diploma should be in Computing or Science. You will need GCSE (or equivalent) Mathematics, with at least grade 6 (or grade B).
We take the EPQ into account when considering your application and it can be useful in the summer when your results are released if you have narrowly missed the conditions of your offer. We do not routinely include the EPQ in the conditions of your offer but we sometimes offer alternative conditions that include the EPQ. If you wish to discuss this further please contact Admissions at [email protected]
International Baccalaureate Diploma Programme
This score should be from the full IB Diploma.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
The BTEC Level 3 National Extended Diploma would normally be in Computing or Information Technology. You will also need GCSE (or equivalent) Mathematics, with at least grade 6 (or grade B). You should also have a broad range of GCSEs 9-4 (A*-C), including good grades in relevant subjects.
Scottish Higher
You will need Scottish National 5 in Mathematics at grade B.
T Level
including grade B in the Core Component. The T Level would normally be in Digital Production, Design and Development, Digital Business Services or Digital Support Services. You will also need GCSE (or equivalent) Mathematics, with at least grade 6 (or grade B). You should also have a broad range of GCSEs grade 9-4 (A*-C), including good grades in relevant subjects.
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
**100% of our research impact in Computer Science and Informatics was assessed to be world leading or internationally excellent (REF 2021)**
**About this course**
Computer Science and Artificial Intelligence at Sussex explores the scientific basis of intelligence in animals and machines.
The course covers the fundamentals of computer science, the principles of adaptive behaviour and intelligent systems, and their applications. You can also apply for a year working in industry.
You can shape your degree to suit your interests, specialising either in technology or in cognitive science - the interdisciplinary study of intelligence and mind.
You’ll study in our Future Technologies Labs, which include a student-focused hub, teaching labs with suites of high-spec computers, and project workspaces.
**Accreditation**
Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
To help you gain experience and increase your employability, you can apply for an optional placement as part of your course. This can be a fantastic opportunity to gain real-life insight into industry as well as skills valued by employers. You’ll be responsible for applying for and securing your placement. Our dedicated careers team can help you:
- find an employer
- draft an application
- prepare for interviews.
Don’t worry if you’re not successful, you’ll simply transfer to a non-placement version of your course.
**Location**
Study on our beautiful, green campus on the edge of the South Downs National Park and just minutes from the vibrant seaside city of Brighton & Hove. We’re near to Gatwick airport and just over an hour from London.
**About the University of Sussex**
Our courses, research, culture and campus aim to stimulate, excite and challenge. From scientific discovery to global policy, from student welfare to career development, Sussex innovates and takes a lead. And today, in every part of society and across the world, you'll find someone from Sussex making an original and valuable contribution.
Modules
See the modules you will study by year by going to the ‘visit our course page’ link at the bottom of the page.
Tuition fees
Select where you currently live to see what you'll pay:
What students say
We've crunched the numbers to see if the overall teaching satisfaction score 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
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
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
£39k
£46k
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
£39k
£46k
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).
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), for undergraduate students only.
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?
Have a question about this info? Learn more here