Certificate in Digital Systems and Industrial Automation

WHAT WILL I LEARN?

Designed for professionals working in, or seeking to enter, pharmaceutical, biotech, medtech, food, and advanced manufacturing sectors.  

With rapid technological changes resulting in manufacturing becoming more digital and automated, the need for specialised skills continues to increase and the modules address the integrated skills profile identified as critical across Ireland’s manufacturing workforce. 

Delivered part-time in a blended format, it is accessible to learners nationwide. The programme aligns with Ireland’s Industry 4.0 Strategy 2020-2025, the National Climate Action Plan, and the Digital Ireland Framework, ensuring strong policy and industry relevance. 

Two integrated modules develop a labour market relevant skills profile: 

Module 1: Information Technology and Automation – builds competency in automation systems, digital infrastructure, and the role of information technology in modern industrial environments, including the shift from traditional to digitally enabled operations, the principles underpinning industrial automation, and the business case for automation investment within manufacturing and service organisations. 

Module 2: Computer Architecture and Data Management – covers the principles of computer architecture, data structures and storage, and the application of data management practices to support operational decision-making, process optimisation, and digital transformation initiatives.

 OBJECTIVES

The objectives of the programme are to:

1. Develop learners’ understanding of the fundamental principles underpinning computer systems, industrial automation technologies, enterprise and industrial networks, and data management systems.

2. Provide learners with practical and applied technical skills in relational database design, SQL-based data manipulation, programmable logic controllers (PLCs), and industrial automation simulation tools.

3. Enable learners to identify, distinguish between, and apply the functions of hardware, software, networking, and automation components used in digitally enabled operational environments.

4. Develop learners’ awareness of the role of information technology, cloud computing, automation systems, and digital infrastructure in supporting operational efficiency, process optimisation, and Industry 5.0 transformation initiatives.

5. Support the development of practical problem-solving, troubleshooting, and technical communication skills relevant to industrial and operational contexts.

6. Facilitate learner engagement with contemporary digital tools, blended learning technologies, and collaborative learning approaches appropriate to technical and vocational education at NFQ Level 6.

7. Provide accessible pathways for school leavers, adult learners, incumbent workers, and learners seeking to reskill or upskill for employment within digitally enabled industrial sectors.

8. Support national workforce development priorities and lifelong learning objectives through the provision of a flexible, stackable micro-credential aligned with the National Framework of Qualifications.

9. Prepare learners for progression to further study in automation, process digitalisation, manufacturing technology, information technology, and related disciplines.