Masters of Engineering (MEng) in Digitalisation of Manufacturing
The modules will cover essential elements of digitalisation of manufacturing and their application in practice. The goal of the master's classes is to provide an expert level appraisal of relevant technologies, tools and techniques in a range of relevant disciplines, so that the Learner can assess current trends and can engage with specialist professionals on an equal footing.
The modules include, Database Design & Data Visualisation, Cyber-Physical Systems & IoT, Manufacturing Automation & Robotics, Data Analytics & Machine Learning, Integrated Database Systems, and Digitalisation of Production. All of the modules will be integrated with work-based practice and will be supported by regular on-line tutorials. Successful completion of the master's classes (30 Credits) may lead to an exit award – a Certificate in Smart Factory Operations (L9 Minor Award).
The applied research project will be structured over the two years and will require completion of a comprehensive range of relevant elements, including; a review of existing knowledge, a personal reflection and professional development plan (PDP), the definition and analysis of a manufacturing digitalisation problem in industry, the design, planning and implementation of a solution within a constrained schedule and budget - cognisant of social and ethical norms, the evaluation of change requirements, the validation of performance (value engineering) and the dissemination of the project’s results and impact. The applied research project will be self directed by the Learner, supported by an industry mentor, academic supervisors (two) and an External Assessment Board (EAB).
The completion of an applied research project will bring significant advances in terms of professional and personal development, communication skills and confidence to present proposals and results. The necessary transversal skills (teamwork, communications, research methods, project management) will be delivered through online, self directed modules with regular workshops in the Institute.
Irish Medtech Skillnet members residing and working in Ireland: Total is €3,750 per year, for two years. (There is no vat on training)
Non Members residing and working in Ireland: €5,000 per year, for two years
There is no vat on training
Schedule of Delivey:
Previously 18 contact days per year, structured into the following:
Two mandatory bootcamps . Each bootcamp is 4 days each (Wed - Sat)
Four optional workshops. Each workshop is 2 days (Fri - Sat)
(SCHEDULE Details around covid-19 to be confirmed)
- Database Design & Data Visualisation
- Cyber-Physical Systems & IoT Manufacturing
- Automation & Robotics
- Data Analytics & Machine Learning
- Integrated Database Systems
- Digitalisation of Production
- Applied Research Dissertation
Brochure Attached shows more details - Click Download Spec tab for brochure.
Who should attend
The programme is aimed at existing manufacturing, mechanical or engineering professionals, and those migrating from associated disciplines. The principal entry requirement for the Masters programme is a Level 8 honours degree, at minimum second class honours (NFQ or other internationally recognised equivalent), in a relevant engineering, computing, or technology discipline.
Applicants from other Level 8 degree disciplines who have a minimum of five years experiential learning in an appropriate manufacturing environment (with a demonstrable knowledge of mathematics and computing) may also apply. Their admission to the program will be determined by the Limerick Institute of Technology Recognition of Prior Learning (RPL) Process. A deep knowledge of manufacturing environments and the potential benefits and challenges facing manufacturing from digitalisation would be beneficial.
NFQ Level 9 - 90 credits.
Delegate cancellation policy
Any cancellations received in writing up to two weeks prior to the event are refundable. All bookings are provisional until full payment is received.
Photography at events
There may be a photographer and videographer at the event and we may publish images from this event on our website(s) and on our social media accounts.