Financial Crime - Fraud and Investigation
Issued by
Griffith University
Earners explored a range of occupational fraud and financial statement fraud schemes, examining perpetrator motivations, common methods for committing these crimes, and strategies for preventing and detecting them in the workplace. Earners also investigated new and emerging technologies working to disrupt financial crime, including Social Network Analysis, Data Visualisation, Machine Learning and Blockchain Technology.
Additional DetailsSkills
- Blockchain
- Blockchain Technology
- Cryptocurrency
- Data Analyis
- Data Visualisation
- Disrupting Financial Crime
- Financial Statement Fraud
- Financial Statements
- Internal Fraud
- Machine Learning
- Occupational Fraud
- Social Network Analysis
Earning Criteria
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Earners have completed six online professional development modules exploring occupational fraud, financial statement fraud and various tools and technologies for disrupting financial crime, including social network analysis, data visualisation, blockchain technology and machine learning.
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Earners have engaged in a range of learning activities, including case studies, scenarios, technical writing tasks and weekly webinar sessions.
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Earners have achieved a minimum score of 80% for all end of module quizzes.
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Earners have successfully completed a final assessment, applying skills to analyse and identify suspicious financial transactions in a real-world case study.