Technical Training

Masters of Engineering (MEng) in Digitalisation of Manufacturing

Objectives

The programme covers essential elements of digitalisation of manufacturing and their application in practice. The goal of the master's 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, engage with specialist professionals, and identify the potential benefits of digitalisation of manufacturing and embracing industry 4.0.

The modules include:

• Database Design & Data Visualisation
• Cyber-Physical Systems & IoT
• Manufacturing Automation & Robotics
• Data Analytics & Machine Learning
• Integrated Database Systems
• Digitalisation of Production

All of the modules are integrated with work-based practice and are supported by regular online tutorials.

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.

The applied research project will be structured over two years and will require completion of; a review of existing knowledge, a personal reflection and professional development plan (PDP), definition and analysis of an industry manufacturing digitalisation problem, design, planning and implementation of a solution with a constrained schedule and budget, evaluation of change requirements, the validation of performance (value engineering) and 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 and an External Assessment Board.

Programme Costs
Funded Cost for people residing and working in Ireland: €3,750 per year, for two years
Non-Funded cost: €5,000 per year, for two years
There is no VAT on training

Content includes

Schedule of Delivery:

Previously 18 contact days per year, structured into the following:
Two mandatory boot camps . Each boot camp is 4 days (Wed - Sat)
Four optional workshops. Each workshop is 2 days (Fri - Sat)

Module List
Database Design & Data Visualisation	DV
Cyber-Physical Systems & IoT	CPS
Manufacturing Automation & Robotics	MA
Data Analytics & Machine Learning	DA
Integrated Database Systems	IDS
Digitalisation of Production	DP
Applied Research Dissertation (ARD) (incl. Project Management (PM) & Research Methods ( RM))	ARD, PM, RM

Academic Year 2023-2024
Year 1		Modules	Dates
Induction			TBC	Evening Session, Photo, etc
Workshop		DV, CPS,	Friday 3rd and Saturday 4th November 2023	Intro to DV, CPS 2 days on campus, [AC: Reading Week]
Bootcamp	December 2023	DV, CPS, ARD	Wed 13th to Sat 16th December 2023	4 days on campus [same as cohort 02] – Peer Presentations
Workshop		DV, CPS	Friday 12th & Saturday 13th January 2024	2 day on campus,
Workshop		MA, DA	Friday 16th & Saturday 17th February 2024	2 days on campus, [AC: Reading Week]
Bootcamp	April 2024	MA, DA, ARD	Wednesday 3rd to Saturday 6th April 2024	4 days on campus [AC: Easter,] – Peer Presentations
Workshop		MA, DA, ARD	Friday 10th & Saturday 11th May 2024	2 days on campus, Progression posters/presentations
		ARD	TBC	Thesis presentations

Academic Year 2024-2025
Year 2		Modules	Dates
Workshop		ARD, PM, RM	Fri 8th September 2024	Online Module
Workshop		DP, IDS	Fri 1st & Sat 2nd November 2024	2 days on campus
Bootcamp	December 2023	DP, IDS,ARD,	Wed 18th to Sat 21st December 2024	4 days on campus
Workshop		ARD, PM	Friday 10th & Saturday 11th January 2025	Progress Reviews, Presentations, Writing Workshop
Workshop		DP, IDS	Fri 21st & Sat 22nd February 2025	2 days on campus
Bootcamp	April 2024	ARD, PM, RM	Wed 23rd to Sat 26th April 2025	Progression, Presentations [AC: Easter]
Workshop		ARD*	Friday 16th & Sat 17th May 2025	Thesis Presentations,
Workshop		ARD*	Wed 11th June & Thurs 12th June 2025	Paper Presentations, Manufacturing Solutions Conference - 12th June
		ARD*	TBC	Presentation for extended Thesis Submissions

Year 1

• Database Design & Data Visualisation
• Cyber-Physical Systems & IoT Manufacturing
• Automation & Robotics
• Data Analytics & Machine Learning

Year 2

• Integrated Database Systems
• Digitalisation of Production
• Applied Research Dissertation

Credits towards the 2-Year Masters Programme can also be earned through our Micro-Credentialing process.
Candidates can attend one or more stand alone modules in response to a specific business need, or with the intention of gradually completing the full programme on an extended schedule.

The modules include:

Database Design & Data Visualisation *
Cyber-Physical Systems & IoT *
Manufacturing Automation & Robotics
Data Analytics & Machine Learning
Integrated Database Systems
Digitalisation of Production
* Can be booked as a stand-alone module. See our UPCOMING COURSES to book these modules separately.

Who should attend

Aimed at existing manufacturing, mechanical or engineering professionals, and those migrating from associated disciplines.

Principal entry requirement - 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 with a minimum of five years experiential learning in an appropriate manufacturing environment (demonstrating 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.

Qualification

NFQ Level 9 - 90 credits.
Successful completion of the master's classes (30 Credits) may lead to an exit award – a Certificate in Smart Factory Operations (L9 Minor Award).

Upcoming dates:

No training dates available at the moment.