Computer Science with Artificial IntelligenceUCAS Code: G700
What do you need to get in?
Main entry requirements
AAA, including mathematics or computing. Grade B or above in GCSE Mathematics is required if no Mathematics A-level is taken. Lower offers may be made based on demonstrated interest and aptitude for the subject (typically AAB). Where Maths or Computing are required this must be at grade A. Where an A-Level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade. Excludes A-Level General Studies or Critical Thinking.
AABBB overall with AA in 2 Advanced Highers to include Mathematics or Computing.
D*D*D with Distinctions in all Mathematics units. Mathematics units must usually include Further Maths and/or other appropriate Maths units – some may be optional on your BTEC but are required by the Faculty. Please contact us for further information.
35 points overall, with 18 points at higher level including 5 points at higher level in either Mathematics or Computing. If only Computing is offered from the IB, Grade B or above in GCSE Mathematics is required.
If your qualifications aren’t listed here, you can use our UCAS points guide of 144 and refer to the university’s website for full details of all entry routes and requirements.
% applicants receiving offers77%
Provided by UCAS, this is the percentage of applicants who were offered a place on the course last year. Note that not all applicants receiving offers will take up the place, so this figure is likely to differ from applicants to places.
Tuition fee & financial supportNot available
Maximum annual fee for UK students. NHS-funded, sandwich or part-time course fees may vary.
If you live in:
- Scotland and go to a Scottish university, you won’t pay tuition fees
- Northern Ireland and go to an NI uni, you’ll pay £3,805 in tuition fees
- Wales you’ll pay £3,810 in fees and get a tuition fee grant to cover the rest
Every degree course is different, so it’s important to find one that suits your interests and matches the way you prefer to work – from the modules you’ll be studying to how you’ll be assessed. Top things to look for when comparing courses
This course will allow you to gain fundamental skills such as programming, mathematics, network architectures and project management, while studying specialist artificial intelligence topics such as machine learning, image analysis, text analytics and their applications in areas from vision to automated reasoning. Drawing on our internationally leading research and development in the School of Computing and the University’s £4.3m National Facility for Innovative Robotics Systems, you’ll also explore how artificial intelligence is being applied to important economic and societal issues in fields such as medicine, health, transport and smarter cities through case studies from ongoing research projects.
Studying at the University of Leeds and becoming a member of Leeds University Union will provide you with an experience like no other. The campus nestled in the heart of Leeds is a hive of activity from world-class research to inspirational academic lectures and exceptional Union events. We have more than 300 clubs and societies for sports, dance, media, politics and volunteering.
How you'll spend your time
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How you'll be assessed
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What do the numbers say for
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Start building a picture of who you could be studying with by taking a look at the profile of people that have studied this subject here in previous years.
UK / Non-UK
Male / Female
Full-time / Part-time
Typical Ucas points
2:1 or above
Most popular subjects students studied before attending
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What are graduates doing after six months?
Here’s what students are up after they graduate from studying this subject here. We’ve analysed the employment rate and salary figures so you can see at a glance whether they’re high, typical or low compared to graduates in this subject from other universities. Remember the numbers are only measured only six months after graduation and can be affected by the economic climate - the outlook may be different when you leave uni. What do graduate employment figures really tell you?