UNISA Forensic Auditing Course Module
Fraud Investigation for Forensic Auditors – AUE4866 | |||
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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 | |||
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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 | |||
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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 | |||
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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. |