Artificial Intelligence with Industrial Placement

Overview

The MSc Artificial Intelligence with Industrial Placement is a two-year specialist programme that has the core aim of preparing students with skills in AI that are in high demand nationally and internationally. The MSc programme will strive to address the growing demands in the sector by training computing professionals to follow a career in the AI industry. The course also provides a platform to embark on further research studies.



This industrial placement provides masters students with an opportunity to gain structured and professional work experience at an advanced level, in a work-based learning environment, as part of their planned programme of study at the University. This will allow students to further develop, refine and reflect on their key personal and professional skills. The placement opportunity significantly supports the development of the student's employability skills, build confidence through further application of theory within the workplace and prepare them for a future career in computing. Please note it is the student's responsibility to secure a placement, however we are on hand to support with this and help prepare you for interview and the working environment.



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.



The School of Computing at Ulster University holds Athena Swan Bronze Award since 2016 and is committed to promote and advance gender equality in Higher Education. We particularly welcome female applicants, as they are under-represented within the School at postgraduate taught courses.



Work placement / study abroad

Students who have successfully completed the taught modules and Masters Project of their MSc programme, and have secured a suitable placement, are eligible to proceed to the Industrial Placement pathway. This pathway provides students with an opportunity to gain structured and professional work experience at an advanced level, in a work-based learning environment, as part of their planned programme of study at the University. This will allow students to further develop, refine and reflect on their key personal and professional skills. The placement opportunity should significantly support the development of the student's employability skills, build confidence through further application of theory within the workplace and prepare them for a future career in computing. It also serves as an integrating mechanism for course content as well as developing analytical, evaluative and project management skills in an industrial context. The nature of the work will vary depending on the company providing the placement. The student will complete a reflective professional development report and learning journal as part of the assessment of this pathway. It is student responsibility to secure a placement, however, we are on hand to support and help you prepare for it.

The first year of the MSc programme consists of 6 taught modules (totaling 120 credits), in addition to a substantial piece of independent Masters Project (60 credits). Students who have successfully completed the Masters Project, and have secured an suitable internship, are eligible to proceed to the Industrial Placement (60 credits) pathway in the second year. Please note it is student responsibility to secure a placement, however, we are on hand to support with this and help prepare you for interview and the working environment.



As part of the programme, students will be required to use various programming languages, including Python and R.



The six taught modules are:

Data Science and Machine Learning

Deep Learning and Its Application

Robotics & AI

Knowledge Engineering

Intelligence Engineering and Infrastructure

Emerging and Advanced Topics in AI

Applicants must have gained

(i) an upper second class honours degree or better, in the subject areas of Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics or closely related discipline, 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 excluding Conversion courses; and the qualification must be in the subject areas of Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics or closely related discipline.



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.



Offers issued by the University are subject to the academic conditions attached to each offer, capacity on the course and completion of the admission process. We will confirm places to offer holders on a first-come, first-served basis, and reserve the right to close admission to any of our courses when student capacity is reached. We strongly advise you satisfy the conditions of offer as soon as possible. When you have satisfied all academic conditions of offer you will have to complete the admission process and pay your deposit to secure your place. If your course is already full when you pay your deposit, you will be offered the next available intake for your course or offered a refund of your deposit.



English Language Requirements

Applicants must provide evidence of competence in written and spoken English (GCSE grade C or equivalent). For applicants whose first language is not English the minimum English language requirement is an Academic IELTS 6.0 with no band score less than 5.5, Trinity ISE: Pass at level III or equivalent English language tests comparable to IELTS equivalent score.



Ulster recognises a number of other English language tests and comparable IELTS equivalent scores.



• For English language requirements go to: https://www.ulster.ac.uk/global/apply/english-language-requirements



• For Your country go to: https://www.ulster.ac.uk/global/apply/country



Exemptions and transferability

The entry requirements facilitate accreditation of prior learning.

Your Application

You can apply directly to Ulster at any time of year. We advise that you submit your application no later than two weeks prior to your course start date. This is to ensure there is sufficient time for your application to be reviewed and, should you be made an offer, time for you to complete all the necessary pre-enrolment tasks.



Some programmes will have specific deadlines as additional selection (e.g. interview, portfolio submission etc) is required, so please check the course page to ensure you have sufficient time to complete your application.

2 years, Full-time. Typically 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 third semester separately. The industrial placement is in the second year of MSc programme

Start Date: September 2026.

Careers and Opportunities

AI is at the centre of Industry 4.0 – The Fourth Industrial Revolution. Many countries, including the UK, US and China, have taken AI as a priority area for research and development. 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 in 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.