ICT Change Management

Unit code:NIT2271Study level:Undergraduate

Credit points

12
(Generally, 1 credit = 10 hours of classes and independent study.)

Location

Footscray Park
Online Real Time
VU Brisbane
VU Sydney

Prerequisites

(Or equivalent to be determined by unit coordinator)
Co-requisites
(Corequisite units must be studied concurrently with this unit)

Overview

In this unit, you will develop practical strategies that lead and support structured ICT change by minimising risk and maintaining operational stability. You will also analyse change management frameworks, create implementation plans, and apply automation tools to improve compliance and reduce disruption. This unit combines planning, documentation, and stakeholder engagement to prepare you for managing change in complex ICT environments. By the end of the unit, you will be able to design, document, and manage ICT change processes that align with operational goals and support business continuity.

Learning Outcomes

On successful completion of this unit, students will be able to:

  1. Analyse key principles, frameworks, and best practices in ICT change management;
  2. Develop structured ICT change management plans, incorporating stakeholder engagement and risk assessment;
  3. Collaborate on developing risk mitigation strategies to tackle challenges in ICT change implementation;
  4. Utilise ICT change recording and documentation processes to ensure compliance and traceability; and
  5. Evaluate the role of ICT change automation in enhancing efficiency and minimising disruptions.

Assessment

For Melbourne campuses

Assessment type: Test | Grade: 20%

Problem-solving online test

Assessment type: Project | Grade: 40%

ICT Change management project (Group) with presentation and Q&A verification.

Assessment type: Case Study | Grade: 40%

Group case study on ICT change management with verified live interaction.

Project: Includes structured milestone reviews and in-class progress checks. Individual contributions are logged, validated, and justified through recorded peer review or demonstration to ensure authenticity.

Case Study: Students apply concepts to unpredictable data science scenarios. Responses are evaluated based on reasoning, method selection, and outcome justification, with an in-class component or oral defence verifying understanding.

Required reading

Required readings will be made available on VU Collaborate.

As part of a course

This unit is not compulsory for any specific course. Depending on the course you study, this unit may be taken as an elective.

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