Creating the next generation of high quality professionals for the AI industry.
Students will complete the next academic year (2020/21) on the Jordanstown campus *
Thereafter, from 2021, they may transition campuses.
Precise timings will be communicated as we progress through the final stages of the build of the enhanced Belfast campus.
*subject to COVID-19 restrictions and on-line learning provision
AI industry is estimated to be worth £232bn to the UK economy by 2030, amounting to 10 per cent of its GDP. The UK will need a larger workforce with deep AI expertise, and more development of specialist skills to work within the domain.
The new MSc Artificial Intelligence is a specialist programme that has the core aim of preparing students with skills in AI that are in high demand nationally and internationally. The course will enable you to embark on, or further enhance your professional career in the area of AI by providing them with knowledge and skills in Deep learning, Data Mining, Machine Learning, Big Data, Automatic Computing, Robotics, Knowledge Engineering and Data Analytics in the context of AI with the state-of-the-art tools.
The delivery of the course is supported by multi-million pound infrastructure of a large-scale pervasive and mobile computing environment, a suite of contemporary sensing technologies and rapid prototyping facilities. The course content has been informed by internationally leading research being conducted in the School and by our strong industry partnerships, most notably with BT through the jointly established £28.6 million BT Ireland Innovation Centre.
Sign up to register an interest in the course.
In this section
Typically 10-15 timetabled hours per week Monday – Friday including lectures, tutorials and practicals in the computer labs for the taught components of the course. Research Project takes place in the final semester seperately.
Teaching is delivered through lectures, directed tutorials, seminars, and practical sessions, some of which are by industry professionals / researchers.
The course is assessed by 100% coursework.
The content for each course is summarised on the relevant course page, along with an overview of the modules that make up the course.
Each course is approved by the University and meets the expectations of:
As part of your course induction, you will be provided with details of the organisation and management of the course, including attendance and assessment requirements - usually in the form of a timetable. For full-time courses, the precise timetable for each semester is not confirmed until close to the start date and may be subject to some change in the early weeks as all courses settle into their planned patterns. For part-time courses which require attendance on particular days and times, an expectation of the days and periods of attendance will be included in the letter of offer. A course handbook is also made available.
Courses comprise modules for which the notional effort involved is indicated by its credit rating. Each credit point represents 10 hours of student effort. Undergraduate courses typically contain 10- or 20-credit modules (more usually 20) and postgraduate course typically 15- or 30-credit modules.
The normal study load expectation for an undergraduate full-time course of study in the standard academic year is 120 credit points. This amounts to around 36-42 hours of expected teaching and learning per week, inclusive of attendance requirements for lectures, seminars, tutorials, practical work, fieldwork or other scheduled classes, private study, and assessment. Part-time study load is the same as full-time pro-rata, with each credit point representing 10 hours of student effort.
Postgraduate Master’s courses typically comprise 180 credits, taken in three semesters when studied full-time. A Postgraduate Certificate (PGCert) comprises 60 credits and can usually be completed on a part-time basis in one year. A 120-credit Postgraduate Diploma (PGDip) can usually be completed on a part-time basis in two years.
Class contact times vary by course and type of module. Typically, for a module predominantly delivered through lectures you can expect at least 3 contact hours per week (lectures/seminars/tutorials). Laboratory classes often require a greater intensity of attendance in blocks. Some modules may combine lecture and laboratory. The precise model will depend on the course you apply for and may be subject to change from year to year for quality or enhancement reasons. Prospective students will be consulted about any significant changes.
Assessment
Assessment methods vary and are defined explicitly in each module. Assessment can be a combination of examination and coursework but may also be only one of these methods. Assessment is designed to assess your achievement of the module’s stated learning outcomes. You can expect to receive timely feedback on all coursework assessment. The precise assessment will depend on the module and may be subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.
Coursework can take many forms, for example: essay, report, seminar paper, test, presentation, dissertation, design, artefacts, portfolio, journal, group work. The precise form and combination of assessment will depend on the course you apply for and the module. Details will be made available in advance through induction, the course handbook, the module specification and the assessment timetable. The details are subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.
Normally, a module will have 4 learning outcomes, and no more than 2 items of assessment. An item of assessment can comprise more than one task. The notional workload and the equivalence across types of assessment is standardised.
Calculation of the Final Award
The class of Honours awarded in Bachelor’s degrees is usually determined by calculation of an aggregate mark based on performance across the modules at Levels 5 and 6, (which correspond to the second and third year of full-time attendance).
Level 6 modules contribute 70% of the aggregate mark and Level 5 contributes 30% to the calculation of the class of the award. Classification of integrated Master’s degrees with Honours include a Level 7 component. The calculation in this case is: 50% Level 7, 30% Level 6, 20% Level 5. At least half the Level 5 modules must be studied at the University for Level 5 to be included in the calculation of the class.
All other qualifications have an overall grade determined by results in modules from the final level of study. In Master’s degrees of more than 200 credit points the final 120 points usually determine the overall grading.
We have a highly experienced and energetic course team, in terms of both teaching and research. All members of the course team are research active and will be included in the forthcoming REF2021 submission. The course team have been grantholders of multi-million pound research projects, they have produced world-leading and internationally excellent research outputs in the area and have demonstrated research impact from their endeavours. We also fully embrace the importance of innovative teaching and assessment methods and are all Fellows of the Higher Education Academy in the UK.
The University employs over 1,000 suitably qualified and experienced academic staff - 59% have PhDs in their subject field and many have professional body recognition.
Courses are taught by staff who are Professors (25%), Readers, Senior Lecturers (18%) or Lecturers (57%).
We require most academic staff to be qualified to teach in higher education: 82% hold either Postgraduate Certificates in Higher Education Practice or higher. Most academic staff (81%) are accredited fellows of the Higher Education Academy (HEA) - the university sector professional body for teaching and learning. Many academic and technical staff hold other professional body designations related to their subject or scholarly practice.
The profiles of many academic staff can be found on the University’s departmental websites and give a detailed insight into the range of staffing and expertise. The precise staffing for a course will depend on the department(s) involved and the availability and management of staff. This is subject to change annually and is confirmed in the timetable issued at the start of the course.
Occasionally, teaching may be supplemented by suitably qualified part-time staff (usually qualified researchers) and specialist guest lecturers. In these cases, all staff are inducted, mostly through our staff development programme ‘First Steps to Teaching’. In some cases, usually for provision in one of our out-centres, Recognised University Teachers are involved, supported by the University in suitable professional development for teaching.
Figures correct for academic year 2019-2020.
The largest of Ulster's campuses.
Students will complete the next academic year (2020/21) on the Jordanstown campus *
Thereafter, from 2021, they may transition campuses.
Precise timings will be communicated as we progress through the final stages of the build of the enhanced Belfast campus.
*subject to COVID-19 restrictions and on-line learning provision
Jordanstown is our biggest campus in an idyllic setting surrounded by lush lawns and trees. It's just a few hundred metres from Loughshore Park and promenade, and just seven miles from Belfast city centre.
Find out more - information about accommodation
At our Jordanstown Campus we have world class facilities that are open all year round to our students and members of the public.
Find out more - information about sport
At Student Support we provide many services to help students through their time at Ulster University.
Find out more - information about student support
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.
Applicants must:
(a) have gained
(i) a second class lower division honours degree or better, in the subject areas of computing, engineering or cognate area from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or
(ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification; and the qualification must be in the subject areas of computing, engineering or related discipline
and
(b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent).
In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme.
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.
The entry requirements facilitate accreditation of prior learning.
Postgraduate
Typically we require applicant for taught programmes to hold the equivalent of a UK first degree (usually in a relevant subject area). Please refer to the specific entry requirements for your chosen course of study as outlined in the online prospectus. We consider students who have good grades in the following:
Typically, we require applicants for taught programmes to hold the equivalent of a UK first degree.
Please refer to the specific entry requirements for your chosen course of study as outlined in the online prospectus.
The comparable US qualifications are as follows:
UK 2:1 Degree - Bachelor degree with a cumulative GPA of 3.0 out of 4
UK 2:2 Degree - Bachelor degree with a cumulative GPA of 2.6 out of 4
In addition to the scholarships and bursaries open to all international students, US students may apply for Federal and Private US loans
English Language
Qualification |
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Level 12 English Lang in HSD |
View more information for students from United States of America
In this section
Many countries, including the UK, US and China, have taken AI as a priority area for research and development. Artificial Intelligence is at the centre of Industry 4.0 – The Fourth Industrial Revolution. The UK government and industry have committed to spend nearly £1 billion on AI based on the recommendations made by Wendy Hall, Regius Professor of computer science at the University of Southampton and Jérôme Pesenti, vice-president of AI at Facebook, in their review of the UK’s AI industry. The new MSc in Artificial Intelligence will strive to address the growing demands being placed on the sector by training computing professionals to follow a career either in industry or academia. The course provides opportunities for training and development of the skills required to contribute to the local and global industrial opportunities that AI offers. AI has applications in almost every industry sector including, but not limited to, Health, Financial Technology, Advanced Manufacturing, Media, Energy, Civic Society and Public Policy. Graduates from the course will be well placed to progress into a career across a range of industrial settings and across these sectors. The School have active Industry engagement and links with vibrant technology sector in Northern Ireland. Graduates from the course also have opportunity to embark on further research at the Ph.D. level.
The course doesn’t require placement experience.
There are opportunities in the course for you to participate in research and industry related projects in the IoT domain through our two Innovation centres BTIIC and CHIC.
BTIIC is the BT Ireland Innovation Centre (BTIIC) in collaboration with Ulster University and BT. The centre aims to invent new ways of using data analytics, artificial intelligence and the IoT, through two work streams of Intelligent System and IoT.
CHIC is the Connected Health Innovation Centre is funded by Invest NI to support business led research in the area of connected health, with focus on data analytics and IoT. The centre currently has over 30 national and international member companies with both technical expertise and clinical experience.
We also have strong links with IAESTE (International Association for the Exchange of Students for Technical Experience). It provides students industry placement opportunities from six weeks to 1 year in one of 80 countries linked with the Association.
Fees illustrated are based on 21/22 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.
£6,080.00
£14,480.00
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.
Admissions contact for entry requirements:
Helen Gibson
T: +44 (0)28 9036 6069
E: h.gibson@ulster.ac.uk
Centralised Admissions staff:
T: +44 (0)28 9036 6305
E: admissionsjn@ulster.ac.uk
For course specific enquiries:
Dr Shuai Zhang
E: s.zhang@ulster.ac.uk