AI Assisted Project Management

Unit code:NIT5000Study level:Postgraduate

Credit points

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

Location

City Campus
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

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:

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