Course Details

Course Code(s):
Course Start Date:
September 2024
13 Weeks
University Certificate of Study
Faculty: Science and Engineering
Course Type: Professional/Flexible
Fees: For Information on Fees, see section below.


Address: Science & Engineering Flexible Learning Centre Email:

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Brief Description

This course qualifies for 80% funding under the HCI Micro-Credential Course Learner Subsidy. Check fees section for details and eligibility.  Please Note:   Applicants may only apply for and receive, one subsidised course per semester. 

Please ensure you enter the Module Code below when applying for this Micro Cred. Applications without this cannot be processed.

You may apply for more than one MicroCred under the same application.

Module Description

Module Code

NFQ Level

ECTS Credits

Next Intake


Introduction to Cyber-Physical Systems & Internet of Things




Sept 2024


This micro-credential represents a single module within a larger further award (e.g., Certificate, Diploma, Masters). By taking this micro-credential you may be eligible to apply for a credit exemption should you progress to study for a further award.

The programme(s) associated with this Micro Credentials are: 

This module adopts an applied learning approach to understanding embedded systems, the Internet-of-things (IoT) and the cyber-physical systems (sensors, control boards) necessary for data acquisition in business environments.

The aim of this module is to enable the learner to programme standard ICT Boards, I/O, sensors and gateways in order to collect time-series data streams. Furthermore, the application of data stream analysis at the Board/Gateway level (edge computing) will be explored. Robotic Process Automation (RPA) will also be considered with exposure to Software platforms such as Blue Prism

The module is broken down to provide an overview of the following areas:

  • Understanding embedded systems, the Internet-of-things (IoT) and the cyber-physical
  • systems (sensors, control boards) necessary for data acquisition in business
  • environments.
  • Understand standard ICT Boards, I/O, sensors, and gateways in order to collect timeseries data streams.
  • Manage and apply data stream analysis at the Board/Gateway level Appreciate how
  • edge computing can be used in data acquisition
  • Be able to program an application to acquire and log time-series data streams, with appropriate timestamps, data cleansing and formatting.
  • Applications Robotic Process Automation (RPA)

On successful completion of the module students will be able to implement an application to capture and analyse relevant real-time industry data, relevant to the learner’s practice.

Applicants should have a first or second-class Level 8 honours degree, or equivalent prior learning that is recognised by the University as meeting this requirement.

Entry requirements are established to ensure the learner can engage with the course material and assessments, at a level suitable to their needs, and the academic requirements of the module. By applying to this micro-credential, you are confirming that you have reviewed and understand any such requirements, and that you meet the eligibility criteria for admission.

Successful completion of this module does not automatically qualify you for entry into a further award. All programme applicants must meet the entry requirements listed if applying for a further award.

The fees for this programme are €1,000

HCI Micro-Credential Course Learner Subsidy - Candidates who satisfy the eligibility criteria can qualify for 80% funding subject to the availability of places. To clarify eligibility please go to Eligibility Criteria 

Please click here for information on funding and scholarships.