Course summary
The MSc Artificial Intelligence is a specialist programme that has the core aim of preparing students for both an industrial career, with skills in the fields of computing, knowledge presentation, reasoning, robotics, machine learning, deep learning, neural networks, natural language processing, data analytics in the context of AI and the emerging and advanced topics in AI, and in addition providing a relevant platform to embark on further research studies. They will also be able to apply the acquired skills in the development of AI system and applications. 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 BT Ireland Innovation Centre (BTIIC) and with PwC through the Advanced Research and Engineering Centre (ARC). This course has been developed in response to evidence of demand from industry and business for up-skilling of staff in the area of AI and addresses a clear gap in the marketplace for postgraduate study. The MSc in Artificial Intelligence 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. The course is accredited by BCS, The Chartered Institute for IT, for Partial CITP (Chartered IT Professional) and Partial CEng (Chartered Engineer). 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.
Modules
Big Data & Infrastructure, Statistical Modelling & Data Mining, Knowledge Engineering & Computational Creativity, Autonomic Computing & Robotics, Machine Learning, Deep Learning and Its Application
Entry requirements
Applicants must: (a) have gained (i) a 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. and (b) 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. 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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Visit https://www.ulster.ac.uk/study/postgraduate/fees for latest fees information .
Provider information
Ulster University
Cromore Road
Coleraine
BT52 1SA