Postgraduate Certificate in Intelligent Manufacturing Systems

Faculty of Engineering & Science
Award Class
Awards
PgCert
Programme Code CR_EINMS_9 Mode of Delivery Full Time, Part Time, Partially Online No. of Semesters 2
NFQ Level 9 Embedded Award No Programme Credits 30
Next Review Date
No dates assigned
Department MECHANICAL, BIOMEDICAL & MANUFACTURING ENGINEERING
Field of Study 5400 - Manufacturing Engineering
 

Programme Outcomes

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

# PO Domains Programme Learning Outcome
PO1 Knowledge - Breadth A wide and systematic understanding of knowledge in the fields of new and emerging technologies and advanced analytics informed by and for the smart factory of the future.
PO2 Skill - Range Mastery of a range of state of the art tools and advanced analytics for intelligent manufacturing; the ability to apply reinforcement learning to robotics and autonomous systems and develop new solutions to problems for the factory of the future.
PO3 Skill - Selectivity The ability to select appropriate advanced skills and use new methods required for novel situations and the ability to develop, to a high level, new skills in emerging techniques as required in intelligent manufacturing; the ability to undertake analysis and justify decisions informed by advanced analytics.
PO4 Competence - Context Act in a wide and often unpredictable variety of professional levels and ill-defined contexts.
PO5 Competence - Role The technical competence necessary to take significant responsibility for the work of individuals and groups, lead and initiate activity in Intelligent Manufacturing.
PO6 Competence - Learning to Learn The ability to evaluate their own learning, identify knowledge gaps, and take responsibility for the pursuit of academic professional development pathways.
PO7 Competence - Insight An awareness of the impacts of smart manufacturing on society and the ability to critically evaluate the technical, economic, environmental and social implications of the factory of the future.
 

Semester Schedules

Year 1 / Semester 1

Mandatory 
Code Title Module Coordinator Version Credits
COMP9073 Automation with Python Ted Scully 1 5
STAT9007 Industrial Data Analysis AINE NI SHE 1 10

Year 1 / Semester 2

Mandatory 
Code Title Module Coordinator Version Credits
MECH9007 Machine Prognostics NIALL MORRIS 1 10
COMP9069 Robotics & Autonomous Systems Ted Scully 2 5