Artificial Intelligence
Ulster University
UCAS Code: GA50 | Bachelor of Engineering (with Honours) - BEng (Hon)
Entry requirements
A level
One subject from Chemistry, Biology, Computing (not IT/ICT), Software Systems Development, Technology and Design, Design and Technology, Digital Technology, Electronics, Engineering or Double Award Science/Applied Science. Reduced offer: Grades CCC One subject from Mathematics, Further Mathematics or Physics.
Overall profile of 63% (120 credit Science/Technology Access Course) (NI Access Course); to include a 20 credit Level 2 Mathematics module, passed at 40% or successful completion of NICATS Mathematics as part of the pre-2021 Access Diploma. Overall profile of 15 credits at distinction and 30 credits at merit (60 credit Science/Technology Access Course) (GB Access Course); to include a 20 credit Level 2 Mathematics module, passed at 40% or successful completion of NICATS Mathematics as part of the pre-2021 Access Diploma.
GCSE/National 4/National 5
English Language and Mathematics at Grade C or above (or equivalent)
Irish Leaving Certificate 112 UCAS tariff points to include a minimum of five subjects (four of which must be at higher level) to include English at H6 if studied at Higher level or O4 if studied at Ordinary Level. Course Specific Subject requirements This course also requires you to achieve H2 in one of the following: Mathematics, Physics, Chemistry, Biology, Computing, Technology or Engineering. If Mathematics is not passed at H2, you will be required to achieve a minimum of H6 if studied at Higher level or O4 if studied at Ordinary Level in addition to one of the subjects above. Entry equivalences can also be viewed in the online prospectus at http://www.ulster.ac.uk/apply/entrance-requirements/equivalence Irish Leaving Certificate UCAS Equivalency View tariff point chart
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
BTEC Level 3 QCF Extended Diploma in Computing (not ICT/IT), Electronics or an Engineering discipline with overall award profile of DDD OR BTEC Level 3 RQF National Extended Diploma in Computing (not ICT/IT), Electronics or an Engineering discipline with overall award profile of DDM The following qualifications are acceptable in particular combinations and/or with A-Level(s) - NB Subject requirements must be met as outlined above. BTEC Level 3 QCF Subsidiary Diploma, BTEC RQF National Extended Certificate, BTEC Level 3 QCF 90-credit Diploma, BTEC Level 3 RQF National Foundation Diploma, BTEC Level 3 QCF Diploma, BTEC Level 3 RQF National Diploma.
Scottish Advanced Higher
Grades CCD (to include Mathematics and a science subject). English required at Standard Grade 1, 2 or 3.
Scottish Higher
Grades BBCCC (to include a minimum of BB in Mathematics and a science subject). English at Standard Grade 1, 2 or 3
UCAS Tariff
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About this course
The overall aim of the course is to provide a broadly-based education in Artificial Intelligence (AI) and its related technologies which will produce graduates equipped with the knowledge and skills to select and apply appropriate AI techniques to a particular domain.
In support of this, the course has the following aims:
• To provide a systematic study of the theory and principles of AI, which includes fundamental theoretical computer science, mathematics, programming and software engineering.
• To develop competence in the use of programming languages for the production of AI and Machine Learning software components.
• To develop an ability to analyse problems, reason a solution, and represent the knowledge using suitable AI methods and computational techniques.
• To provide opportunities for the development of practical and team-based skills in applying AI in an industrial context.
• To develop key skills and enterprise competencies to support the student's progression into a career in the AI industry or further academic study.
Tuition fees
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What students say
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Artificial intelligence
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After graduation
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Artificial intelligence
What are graduates doing after six months?
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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.
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