Industry 4.0 & Industrial Internet of Things - Kerry
The implementation of Industry 4.0 and IIoT techniques within a manufacturing facility can increase yield, quality and product throughput, while reducing downtime and improving process efficiency.
| Award Name | Special Purpose Certificate (Level 8 NFQ) |
|---|---|
| NFQ Classification | Special Purpose |
| Awarding Body | Munster Technological University |
| NFQ Level | Level 8 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Special Purpose Certificate (Level 8 NFQ) | Special Purpose | Munster Technological University | Level 8 NFQ |
Duration
1 year, part-time, blended.
Course Delivery
This programme will be delivered in a blended format part-time from September 2026 to May 2027. The majority of content will be delivered online (provisionally classes will take place on Tuesday, Wednesday and Thursday from 7pm to 9pm), however, students will be required to attend a number of workshops (approximately six) on-campus throughout the duration of the programme.
Entry Requirements
Applicants must hold an NFQ level 7 or equivalent qualification in a science or engineering discipline. The University’s policy in relation to recognition of prior learning (RPL) also applies.
All programmes are delivered through English, therefore, a good knowledge of the language is essential. For all applicants applying for this programme who do NOT have English as their first language or who have NOT completed a major academic award equivalent to a minimum of level 4 on the Irish NFQ, that is delivered and assessed through the medium of English, are required to review the minimum criteria @ https://mtu.ie/international/non-eu/kerry-campus/
What is RPL?
Recognition of Prior Learning (RPL) is when formal recognition is given for what you already know prior to starting on a programme or module. With recognition of prior learning the focus is on learning and not on experience as such. You can apply for RPL in any MTU accredited programme or module. Programmes which are accredited by professional bodies or any external awarding bodies may have their own procedures for RPL which you should refer to.
Careers / Further progression
Progression
On successful completion of the programme students will have gained 30 credits at NFQ level 8 which may contribute to the achievement of other academic awards.
Further information
Fees do not apply to applicants who meet the Springboard+ initiative funding criteria (see https://springboardcourses.ie/eligibility). For employed applicants the HEA will pay 90% of the programme fee, the remaining 10% – €378 will be payable before registration. For applicants who do not meet the Springboard+ eligibility criteria the fee is €3,780.
Application Deadline 7th August 2026
Industry 4.0 and Industrial Internet of Things (IIoT) have become extremely relevant and increasingly important in manufacturing for a multitude of reasons. It helps manufacturers with current challenges by allowing greater connectivity of their machines, greater operational insight into the process, makes reacting to changes in the manufacturing process easier, faster and more efficient and allows greater product traceability. The implementation of Industry 4.0 and IIoT techniques within a manufacturing facility can increase yield, quality and product throughput, while reducing downtime and improving process efficiency.
These methods can increase the speed of process improvement and innovation, leading ultimately to more profitable manufacturing and subsequently to a more sustainable and profitable future in the industry. This programme is designed for persons who are currently working in the manufacturing sector or want to pursue a career in the sector and need to develop their knowledge and skills accordingly. The modules on this programme address current technologies in advanced manufacturing and provide students with the broad range of skills needed in industry today.
Modules
Instrumentation, Monitoring & Control
Industrial Internet of Things: Applications
Industrial Networks, Distributed Systems & Cloud Computing
Industry 4.0: Cyber Physical Systems
Machine Learning/Data for Internet of Things
Lifelong Learning Office
Tel: 353 (0)66 719 1701
Email: parttimekerry@mtu.ie