Objectives
Upcoming dates: 4 days on campus in TUS Midwest, Limerick: 1st November, 12th December, 13th December, 10th January
Closing Date for applications: 23rd October
The Database Design and Data Visualisation module adopts an applied learning approach to identify opportunities and work with data through the lens of the relational database model. The aim of this module is to enable the learner to interface with standard industrial systems and collect and interpret datasets for data-driven intelligence. Therefore learners will acquire the skills necessary to design and develop database systems, collect, clean, visualise and interpret data rooted in best data analysis practice.
This module can be done as a stand alone, or as part of the 2-Year Master of Science (MSci) in Digitalisation of Manufacturing programme, which 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 database technologies and data visualisation in a relevant industrial context.
- Design a database application, including data schemas and data repositories, to capture and store appropriate data streams.
- Collect, clean, structure and transform raw data from industry systems into data repositories.
- Implement the data definition, data manipulation and data control language components of Structured Query Language in an open source relational database implementation.
- Represent pattern, trends and correlations through appropriate data visualisation techniques, relevant to the learners industrial practice.
Schedule of Delivery:
4 Full Days on Campus, TUS Midwest
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)