Technical Training

Data Analytics & Machine Learning

Objectives

Registration Deadline for 2025 cohort: 18th September 2025
Registration Deadline for 2026 cohort: 5th February 2026

The Data Analytics & Machine Learning module will review the application of statistics and experimental design to applications in industry. The aim of the module is enable the learner to program statistical, and in particular, machine learning (ML) and artificial intelligence (AI) applications, based on industrial data sets using standard mathematical tools.

The 2-Year Master of Science (MSci) in Digitalisation of Manufacturing 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
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 Master's modules include:
1. Database Design & Data Visualisation *
2. Cyber-Physical Systems & IoT *
3. Manufacturing Automation & Robotics
4. Data Analytics & Machine Learning
5. Integrated Database Systems
6. Digital Twins in Production
*This is running as a stand alone module of the Master of Science (MSci) in Digitalisation of Manufacturing programme

Content includes

On completion of this module the learner will/should be able to;

• Analyse the application of computational intelligence to decision-making problems in a relevant industrial context.
• Design an experiment to generate suitable datasets and apply statistical inference to extract valuable information.
• Program a statistical software tool to perform time series analysis and forecasting.
• Investigate approaches to machine learning, select, and develop appropriate algorithms for a specific data stream.
• Implement a data analytics application for decision support on an empirical data stream situated in a manufacturing context, relevant to the learner’s industrial practice.

Schedule of Delivery:
2025: Running every Wednesday online from Wednesday 24th September 2025 to Wednesday 10th December 2025
2026: Running every Wednesday online from Wednesday 11th February 2026 to Wednesday 29th April 2026


Assessment:
100% Continuous Assessment

Programme Costs:
● Irish Medtech Skillnet subsidised rate: €560 for this module only
    

Who should attend

Aimed at existing manufacturing, mechanical, IT 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

  5 ECTS (Level 9)

  Upcoming dates:

  Location

  Dates

  
  
  Online, Limerick

  24 September 2025

  Book now
  Online, Online

  11 February 2026

  Book now