AI Assisted Project Management

Unit code: NIT5000 | Study level: Postgraduate
12
(Generally, 1 credit = 10 hours of classes and independent study.)
City Campus
Online Real Time
VU Brisbane
VU Sydney
N/A
Overview
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Overview

The unit responds to industry demand for AI-powered project management techniques, addressing challenges in project scheduling, resource allocation, predictive analytics, and risk mitigation, and introduces AI-assisted project management concepts, tools, and techniques used in modern IT project environments. Students will analyse the impact of AI and automation on project workflows, evaluate AI-driven risk assessment and scheduling techniques, and apply AI-enhanced decision-making models for project execution.


By bridging traditional project management methodologies (PMBOK, Agile, Scrum) with AI-powered enhancements, this unit ensures that graduates develop industry-ready skills for modern IT project environments.

Learning Outcomes

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

  1. Critically analyse the role of AI in modern project management and its impact on traditional methodologies;
  2. Evaluate and apply AI-powered tools for project planning, scheduling, and risk assessment;
  3. Assess and implement AI-enhanced decision-making models to optimise project outcomes;
  4. Develop and communicate AI-driven project performance reports and stakeholder updates; and,
  5. Critique and reflect on ethical and legal considerations in AI-assisted project management.

Assessment

For Melbourne campuses

Assessment type: Project
|
Grade: 40%
AI-Driven Project Management Plan (including 5% progress report as early assessment)
Assessment type: Presentation
|
Grade: 20%
Demonstrations AI tools in Project Management
Assessment type: Case Study
|
Grade: 40%
AI Applications in Project Management with considerations in professional ethical (Group)

Required reading

Selected readings will be made available via VU Collaborate.

As part of a course

This unit is studied as part of the following course(s):

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