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Master of Science in Artificial Intelligence

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
programmeReviewDate:December 2022

Programme Outcomes

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

PO1 Knowledge - Breadth
  (a) 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
  (a) 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
  (a) 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
  (a) 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
  (a) 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
  (a) 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
  (a) Devise programme to support his/her continuing professional development, independently learn, understand, evaluate and apply new knowledge.
PO8 Competence - Insight
  (a) 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

Stage 1 / Semester 1

Module Code Module Title
COMP9061 Practical Machine Learning
COMP9058 Metaheuristic Optimisation
COMP9062 Big Data Processing
COMP9011 Research Practice & Ethics
COMP9016 Knowledge Representation
Module Code Module Title
COMP9063 Computer Simulation & Analysis
COMP9064 AI for Sustainability
COMP9065 Recommender Systems
COMP9066 Natural Language Processing
FREE6001 Free Choice Module
COMP9072 Distributed Ledger Technology
COMP9055 Software Agility
SOFT9022 Programming Language Design

Stage 1 / Semester 2

Module Code Module Title
COMP9067 Deep Learning
COMP9057 Decision Analytics
COMP9068 AI Research Project
Module Code Module Title
COMP9069 Robotics & Autonomous Systems
COMP9070 Planning & Scheduling
FREE6001 Free Choice Module
COMP9074 Machine Vision

Cork Institute of Technology
Rossa Avenue, Bishopstown, Cork

Tel: 021-4326100     Fax: 021-4545343
Email: help@cit.edu.ie