* This course is undergoing academic validation. Please note that the information displayed here is subject to change as part of this process.
Gain the skills to design and develop the next generation of Artificial Intelligence (Al) systems and services.
Increased use of Artificial Intelligence (Al) can bring major social and economic benefits by automating tasks currently done by humans. AI computers can analyse and learn from information at higher accuracy and speed than humans can. It offers massive gains in efficiency and performance to most or all industry sectors, for example in Health, Financial Technology, Advanced Manufacturing, Social Media. Al is software that can be integrated into existing processes, improving them, scaling them, and reducing their costs, by making or suggesting more accurate decisions through better use of information. Artificial Intelligence has also been a main focus of Computer Science research at Ulster University for over 25 years, and we are uniquely positioned to deliver this degree course.
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About this course
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This course will develop your employability skills by:
- providing you with a broadly-based education in AI and its related technologies which will equip you with the knowledge and skills to select and apply appropriate AI techniques to a particular domain.
- providing a systematic study of the theory and principles of AI, which includes fundamental theoretical computer science, mathematics, programming and software engineering.
- developing your competence in the use of programming languages for the production of AI and Machine Learning software components.
- developing your ability to analyse problems, reason a solution, and represent the knowledge using suitable AI methods and computational techniques.
- providing opportunities for the development of practical and team-based skills in applying AI in an industrial context.
Four years, including placement.
Each student must complete 120 credits (usually six modules) in each academic year, with the exception of placement year (60 credits). Years 1, 2 and 4 are spent in the University. Modules are taught on campus and are web-supplemented. In Year 3, students undertake a year's work experience.
- September 2020
We recognise a range of qualifications for admission to our courses. In addition to the specific entry conditions for this course you must also meet the University’s General Entrance Requirements.
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Grades BBB to include one from Mathematics, Further Mathematics, Physics, Chemistry, Biology, Computing (not IT/ICT), Software Systems Development, Technology and Design, Design and Technology, Electronics, Engineering or Double Award Science/Applied Science.
Desirable Subject offer: For applicants offering Maths, Further Maths or Physics subjects at A Level, a one grade reduction will be applied at the time of offer.
Applied General Qualifications
The Faculty of Computing, Engineering and the Built Environment accept a range of alternative combinations of qualifications such as:
BTEC Level 3 QCF Extended Diploma in Computing (not ICT/IT), Electronics or an Engineering discipline, with overall award profile of DDM to include a minimum of 9 unit distinctions.
BTEC Level 3 RQF National Extended Diploma in Computing (not ICT/IT), Electronics or an Engineering discipline, with overall award profile of DDM.
A Levels with;
BTEC Level 3 QCF Subsidiary Diploma;
BTEC RQF National Extended Certificate does not satisfy the subject requirement for this course and will only be considered when presented with an A Level in one of the specified subjects (please refer to A level section);
BTEC Level 3 QCF 90-credit Diploma;
BTEC Level 3 RQF National Foundation Diploma does not satisfy the subject requirement for this course and will only be considered when presented with an A Level in one of the specified subjects;
BTEC Level 3 QCF Diploma or BTEC Level 3 RQF National Diploma.
Irish Leaving Certificate
Grades H3,H3,H3,H3,H3 to include at least one science-based subject (Mathematics, Physics, Chemistry, Biology, Computing, Technology or Engineering).
English and Maths grade H6 or above (Higher Level) or Grade O4 or above (Ordinary Level) if not sitting at Higher Level are also required.
The Scottish Highers requirement for this course is BBBCC to include minimum of grade B in a science subject.
English & Maths required at Standard Grade 1, 2 or 3.
Scottish Advanced Highers
The Scottish Advanced Highers requirement for this course is CCC one of which must be a science subject.
English & Maths required at Standard Grade 1, 2 or 3.
Overall International Baccalaureate Diploma requirement is minimum 26 points (13 at Higher level to include Grade 4 HL Mathematics and another HL Science subject).
Higher or Subsidiary level in English Language required at Grade 4 or above.
Access to Higher Education (HE)
Successful completion of an Ulster University validated Access route in Science/Technology with an overall mark of 70% for entry to year 1.
Plus 70% in NICATS Mathematics (level 2) or GCSE Mathematics grade C (or equivalent)
GCSE (or equivalent) minimum of Grade C/4 or above in Mathematics and English Language.
Please note that for purposes of entry to this course the Level 2 Essential / Key Skill in Application of Number is NOT regarded as an acceptable alternative to GCSE Maths.
English Language Requirements
English language requirements for international applicants
The minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5. Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes.
Ulster recognises a number of other English language tests and comparable IELTS equivalent scores.
Additional Entry Requirements
OCR/Cambridge Technical Combinations
OCR Nationals and Cambridge Technical qualifications do not satisfy the subject entry requirements to this course and will be accepted as grade only when presented with A levels in the relevant subject(s) (please refer to A level section).
HNC overall Distinction in a relevant subject area for year 1 entry only.
HND overall Merit in a relevant subject area. HND applications may be considered for year 2 entry where the curriculum sufficiently matches that of Ulster University full time year 1 course.
Ulster Foundation Degree
Pass in a relevant subject area with overall 55% and minimum 55% in all taught level 5 modules. Applicants will normally be considered for entry to an associated Honours degree (normally Year 2 entry).
For further information regarding all of the above qualifications please contact admissions as listed in contact details below.
Entry equivalences can also be viewed in the online prospectus at http://www.ulster.ac.uk/apply/entrance-requirements/equivalence.
Teaching and learning assessment
Lectures are used to present theory and concepts, and are supported through a combination of tutorial discussion and practical, laboratory exercises. Students will be directed to read sections of recommended texts and will be expected to undertake directed reading in preparation for all scheduled classes, and to consolidate the material covered in class by private study.
Modules are either assessed by coursework only or by a combination of coursework and formal examinations (January and May). Coursework assessment is carried out using any combination of written assignments, class tests, practical tests, presentations, and group assignments as appropriate to meet the learning outcomes of each module.
Exemptions and transferability
Transfer between this course and other similar courses within the Faculty of Computing, Engineering and the Built Environment may be possible on the basis of academic performance.
Exemption from parts of the course may be considered based on appropriate performance in a related, designated course or other approved experiential learning (APEL).
The course has been designed to enable students who graduate with a good honours degree to apply for postgraduate study towards a PhD, MSc, MRes or other higher qualification.
Careers & opportunities
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AI skill sets are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. As a graduate in Artificial Intelligence, you will be well placed to progress into a wide variety of careers from large-scale established commercial enterprises to innovative technology start-ups with opportunities in large companies e.g. financial services firms, consumer retail firms, small and medium sized businesses or the public sector.
Work placement / study abroad
All students normally spend one year on industrial placement (Year 3) working in some aspect of the computing/engineering industry for a minimum period of 25 weeks. On satisfactory completion of the placement period, you are eligible for the award of Diploma in Professional Practice (DPP). Students who complete their industrial placement abroad receive the award of Diploma in Professional Practice (International).
Alternatively, students may apply to study abroad in another academic institution for a year. Satisfactory completion leads to the Award of Diploma in International Academic Studies (DIAS).
Members of the teaching team are Fellows of the Higher Education Academy and Members of the industry professional body - the BCS, the Chartered Institute for IT. Through their research, knowledge transfer and placement activities, teaching staff are also actively engaged with the local software and IT industry, and many modules on the course are directly informed by staff research activities.
Fees and funding
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Fees (per year)
Important notice - fees information
Fees illustrated are based on 19/20 entry and are subject to an annual increase. Correct at the time of publishing. Terms and conditions apply. Additional mandatory costs are highlighted where they are known in advance. There are other costs associated with university study.
Visit our Fees pages for full details of fees
- Northern Ireland & EU:
- England, Scotland, Wales
and the Islands:
£9,250.00 Discounts available
- £14,060.00 Scholarships available
Scholarships, awards and prizes
Prizes and Scholarships for this course can be viewed on the Faculty Prize list:
Follow the links to the Faculty of Computing, Engineering and the Built Environment.
Additional mandatory costs
Tuition fees and costs associated with accommodation, travel (including car parking charges), and normal living are a part of university life.
Where a course has additional mandatory expenses we make every effort to highlight them. These may include residential visits, field trips, materials (e.g. art, design, engineering) inoculations, security checks, computer equipment, uniforms, professional memberships etc.
We aim to provide students with the learning materials needed to support their studies. Our libraries are a valuable resource with an extensive collection of books and journals as well as first-class facilities and IT equipment. Computer suites and free wifi is also available on each of the campuses.
There will be some additional costs to being a student which cannot be itemised and these will be different for each student. You may choose to purchase your own textbooks and course materials or prefer your own computer and software. Printing and binding may also be required. There are additional fees for graduation ceremonies, examination resits and library fines. Additional costs vary from course to course.
Students choosing a period of paid work placement or study abroad as part of their course should be aware that there may be additional travel and living costs as well as tuition fees.
Please contact the course team for more information.
Central Admissions Magee
International Admissions Office
Course Director: Mrs Mairin Nicell