About Course
Description:
This module delves into the techniques and tools used to detect and prevent fraud within an organization. Students will learn how to identify red flags, conduct fraud risk assessments, and design effective internal controls. The use of data analytics in detecting fraud patterns will also be explored through case studies.
Topics Covered:
- Red Flags and Warning Signs: Identifying indicators of potential fraud.
- Fraud Risk Assessment: Conducting assessments to identify and prioritize risks.
- Internal Controls: Designing and implementing controls to prevent fraud.
- Data Analytics in Fraud Detection: Leveraging technology and data to detect fraud patterns.
- Case Studies: Real-world examples of successful fraud detection and prevention.
Course Content
Identifying Fraud Indicators and Risks
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Overview of Common Indicators
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Industry-Specific Indicators of Fraud
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Examples of Fraudulent Behavior: Red Flags Leading to Discovery
Fraud Risk Assessment
Designing and Implementing Internal Controls
Leveraging Technology and Data for Fraud Detection
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