Program Overview

Digitalisation Of Process - Module AU5101

Brief Description

Digital transformation is reshaping industries, streamlining workflows, boosting efficiency, and driving innovation. To successfully lead or support this shift, the ability to map, analyse, and automate processes using digital tools and technologies are highly sought-after skills. This 13-week, Level 9 micro-credential introduces practical tools to measure digital maturity and evaluate current and future states. You'll learn to develop a road map for digital transformation implementing automation strategies. Ideal for professionals in business, manufacturing, or IT roles, this module provides a foundation for leading and supporting digitalisation initiatives within your organisation.

Programme Content

Key Information

• The module will be delivered online over 13 weeks.
• Assessment will be through continuous assessment methods, including assignments, practical exercises, and online activities.
• Part-time considerations:
  • Designed for working professionals
  • Evening or recorded lectures
  • Additional prep and group work time
  • Timetable provided after registration

Entry Requirements

Guidelines for Applications

• Applicants should hold a bachelor's degree (NFQ Level 8) with at least a second-class honours, grade 2 (2:2) in any discipline.
• At least years of relevant work experience, particularly in areas related to the module.
• When applying, include the Module Code AU5101.
• By applying, you confirm that you meet the entry requirements and can participate in the course and its assessments.

Fees

• EU: €1,250
• Non-EU: €1,250
• Further information on fees and payment of fees is available from the Student Fees Office.

Graduate Profile

Career Opportunities

This micro-credential can lead to the following sectors and careers:

• Business process improvement and operations roles.
• Digital transformation, automation, and change management teams.
• Business analysis or project management roles focused on digitisation.
• Progression to further study in digitalisation, data analytics.

Module Details

Course Code

AU5101

Available

Part-Time

Intake

Autumn/Fall

Course Start Date

September 2026

Duration

13 Weeks

Award

University Certificate of Study

Qualification

NFQ Level 9 Minor Award

Faculty

Science and Engineering

Course Type

Professional/Flexible

Programme Outline

During this module, you will:

• Learn how to measure digital maturity and map current and future states to drive effective digital transformation.
• Apply methodologies for harnessing and analysing process data to support business process digitisation using platforms like SAS JMP Pro Software. Robotic Process Automation (RPA) will also be considered with exposure to Software platforms such as Blue Prism.
• Use database technologies and data visualisation tools to evaluate processes in a real-world business context.
• Prepare a digitalisation roadmap and associated business case to guide strategic automation and investment decisions.