Overview

This unit has been developed with direct input from industry to ensure graduates have relevant career-ready knowledge and skills. The result is a unit that delves into the intersection of accounting principles and cutting-edge tools to uncover fraud, embezzlement, and financial misconduct. Through a lens of integrity and ethical practice, we explore how forensic accountants and fraud investigators utilize advanced software, data analytics, and investigative techniques to navigate complex financial landscapes. Where possible, the unit delivery includes guest presenters

Requisites

Prerequisites

150 credit points

Equivalent units
ACC30003 Forensic Accounting
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Date Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025

Learning outcomes

Students who successfully complete this unit will be able to:

  • Identify and explain the fundamentals relating to the nature, types and symptoms of fraud
  • Leverage technology-assisted techniques in detecting, investigating and minimising fraud occurrences.
  • Assess emerging threats and trends relating to cybersecurity and ethics.
  • Work in groups to analyse and extrapolate meaning from authentic fraud case studies.

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)

On Campus 

Class 1

2 12 weeks 24

Online 

Lecture (asynchronous)

1 12 weeks 12

Unspecified Learning Activities 

Independent Learning

9.5 12 weeks 114
Total     150

Assessment

Type Task Weighting ULOs
Assignment Group 20-30% 1,2,4
Assessment Individual 40-60% 1,2,3
Assessment Individual 20-30% 1,2,3

Content

  • Fraud definition, classifications and motivations.
  • Legal, regulatory and accounting frameworks
  • Preventing Fraud: Internal Controls, Codes of Conduct (ACS, ACFE), Whistleblowing.
  • Detecting Fraud: Data-driven fraud detection.
  • Data mining and analysis with a fraud lens.
  • Artificial Intelligence in Fraud investigations – industry insights.
  • Regulatory technology, Generative AI for Know Your Customer (KYC).
  • Forensic Analytics and Technologies - industry insights.
  • Financial Crime - Anti-Money Laundering & Counter-Terrorism Financing.
  • Crypto crime --> Blockchain.

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.