UNISA Forensic Auditing Course Module 2021 – 2022

By | September 18, 2021
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UNISA Forensic Auditing Course Module 2021 – 2022

Fraud Investigation for Forensic Auditors – AUE4866
Post Graduate Diploma Year module NQF level: 8 Credits: 24
Module presented in English Module presented online
Purpose: The purpose of this module is to provide students with knowledge, skills and values to understand all aspects of fraud investigation, including background investigations, investigative interviewing; financial statement analysis, electronic evidence collection and recovery and the use of computer-aided forensic audit techniques.
Forensic Audit Reporting – AUE4801
Post Graduate Diploma Semester module NQF level: 8 Credits: 12
Module presented in English Module presented online
Co-requisite: ALF4861 & APL4802 & AUE4863 & AUE4864 & AUE4866
Purpose: To provide students with a practical insight, knowledge and understanding of the role of a forensic auditor as a reporter in a South African context. This role includes reporting aspects of the fraud investigation, providing further investigative support, writing and issuing the formal report and ultimately testifying on its contents as expert witness.
Financial Fraud Schemes – AUE4863
Post Graduate Diploma Year module NQF level: 8 Credits: 24
Module presented in English Module presented online
Purpose: To provide students with knowledge, skills and values to understand all aspects of fraud, to understand why fraud is committed the workings of various fraud schemes and to be able to identify different types of fraud and other financial crime, as well as its indicators.
Fraud Prevention and Detection – AUE4864
Post Graduate Diploma,Masters Degree Year module NQF level: 8 Credits: 24
Module presented in English Module presented online
Purpose: To provide students with knowledge, skills and values to understand all aspects of fraud prevention and detection and the responsibilities of various professionals relating to fraud, to be able to develop a fraud prevention program and to be able to use data analytics and other methods to detect fraud.



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