Forensic Accounting and Fraud Examination

Course overview

Description generated based on course syllabus and open data.

Organizations face financial fraud daily. Forensic accounting and fraud examination structure answers to who commits fraud, why it occurs, how it is executed, and how to record and document evidence.

Who it suits and who it does not: forensic accounting and fraud investigation

Suitable for (forensic accounting / fraud examination)

• Accountants, auditors, internal controllers, and risk managers.
• Compliance, financial security, and incident investigation specialists.
• Business owners and managers building control environments.
• Students of finance, accounting, law, and related fields.

Not suitable for

• Those seeking legal advice or certification preparation.
• Those wanting only programming without control and evidence context.
• Those needing narrow, jurisdiction-specific instructions.

Problem → outcome in forensic accounting and fraud examination

• Fragmented transaction data → structured analysis and operation profiling.
• Hidden schemes → anomalies detected via Benford’s Law and proportion tests.
• Weak controls → control-point mapping and segregation of duties.
• AML risks → identification of laundering stages and key red flags.
• Cyber incidents → basic taxonomy of cyber-fraud and trace artifacts.
• Ad hoc investigations → documented procedures, checklists, and chain of custody.

Comparison with alternatives in forensic accounting and fraud auditing

• Traditional financial audit: tests compliance; forensics focuses on schemes and evidence.
• General data analytics courses: teach tools; forensics adds investigative context and control objectives.
• Internal control without fraud focus: describes processes; forensics links processes to fraud typologies.
• Legal disciplines: address norms; forensics works with financial data and transaction artifacts.

Expected outcomes of coverage: forensic accounting and fraud examination

• Profiles of the accidental and predator fraudster; pressure/opportunity/rationalization factors.
• Core analytics: Benford’s Law, threshold tests, suspicious transaction sampling.
• Internal control mapping and segregation of duties to prevent abuse.
• Stages of money laundering and key red flags.
• Baseline handling of cyber indicators in financial cases.
• Documentation templates: workpapers, concise forensic memo, evidence preservation.

Topic outline in forensic accounting

• Accidental fraudster: core elements of fraud and economic impact.
• Predator fraudster: countermeasures, internal control, and prevention.
• Big Data and Benford: analytics for anomaly identification.
• Cybercrime and AML: tools and stages of money laundering.