Master of Science in Artificial Intelligence

Faculty of Engineering & Science
Award Class
Awards
MSc
Programme Code CR_KARIN_9 Mode of Delivery Full Time, Part Time, ACCS, Fully Online No. of Semesters 2
NFQ Level 9 Embedded Award No Programme Credits 60
Next Review Date
Review Type Date
Programmatic Review 01/06/2026
Department COMPUTER SCIENCE
Field of Study 4811 - Computer Science
 

Programme Outcomes

Upon successful completion of this programme the graduate will be able to demonstrate... :

# PO Domains Programme Learning Outcome
PO1 Knowledge - Breadth A mastery of the theoretical knowledge and applied skills necessary to analyse, critically evaluate and apply the principles and practices of machine learning, metaheuristic optimisation, big data processing, knowledge representation, deep learning, decision analytics and related technologies to artificial intelligence systems.
PO2 Knowledge - Kind An awareness and critical understanding of developments in a number of specialist areas in artificial intelligence; discuss current challenges and research activities in these areas and apply accepted methodologies for tackling research problems.
PO3 Skill - Range Select and apply research tools and techniques of inquiry; critically evaluate design and implementation issues in artificial intelligence systems; communicate to a range of audiences in both written and verbal media about new and emerging theories and technologies.
PO4 Skill - Selectivity Independently acquire and assess knowledge in novel and emerging technologies, integrate this knowledge of various technologies to successfully plan and implement an artificial intelligence project.
PO5 Competence - Context An ability to analyse and document measures to address risks and weaknesses in artificial intelligence systems; develop guidelines regarding professional and ethical practices in the exploitation of computer technology; design and implement a solution that requires significant preliminary research for novel and unfamiliar situations.
PO6 Competence - Role Initiate, lead and manage projects of significant complexity involving multidisciplinary teams; formulate and document a system design and communicate this philosophy to developers, systems engineers, QA etc; work as a member of a strategic leadership team in an organisation; participate in peer collaborations, mentoring and evaluation exercises.
PO7 Competence - Learning to Learn Devise programme to support his/her continuing professional development, independently learn, understand, evaluate and apply new knowledge.
PO8 Competence - Insight Act in a manner consistent with the best interests of clients, colleagues and other stakeholders and the general public, maintain integrity and independence in professional judgement.
 

Semester Schedules

Year 1 / Semester 1

Year 1 Semester 1 Elective Regulation
Free Choice option must be at Expert Level.
Mandatory 
Code Title Module Coordinator Version Credits
COMP9062 Big Data Processing Ted Scully 1 5
COMP9016 Knowledge Representation Ted Scully 3 5
COMP9058 Metaheuristic Optimisation Ted Scully 2 5
COMP9061 Practical Machine Learning Ted Scully 2 5
COMP9011 Research Practice & Ethics Ted Scully 5 5
Elective 
Code Title Module Coordinator Version Credits
COMP9064 AI for Sustainability Ted Scully 1 5
COMP9063 Computer Simulation & Analysis Ted Scully 1 5
COMP9072 Distributed Ledger Technology Ted Scully 1 5
COMP9097 Embedded Systems & Edge AI Ted Scully 1 5
FREE6001 Free Choice Module PAUL GALLAGHER 3 5
SOFT9022 Programming Language Design Ted Scully 1 5
COMP9065 Recommender Systems Ted Scully 1 5
COMP9069 Robotics & Autonomous Systems Ted Scully 2 5
COMP9055 Software Agility Ted Scully 2 5

Year 1 / Semester 2

Year 1 Semester 2 Elective Regulation
Free Choice option must be at Expert Level.
Mandatory 
Code Title Module Coordinator Version Credits
COMP9068 AI Research Project Ted Scully 1 15
COMP9057 Decision Analytics Ted Scully 2 5
COMP9067 Deep Learning Ted Scully 1 5
Elective 
Code Title Module Coordinator Version Credits
FREE6001 Free Choice Module PAUL GALLAGHER 3 5
COMP9074 Machine Vision Ted Scully 1 5
COMP9066 Natural Language Processing Ted Scully 2 5
COMP9070 Planning & Scheduling Ted Scully 1 5