Forensic Data Analysis involves the examination of organizational data to identify patterns that match known fraud profiles. The patterns sought may be logical (e.g. vendors having the same mailing address as employees) and/or numerical and statistical (e.g. duplications of specific digits, digit patterns and combinations, specific numbers, and round numbers) patterns in corporate data. In addition, forensic data analysis involves the use of neural-net and other data mining technologies to gain knowledge regarding databases and to develop models for fraud detection, prediction, and prevention where known fraud patterns are lacking or obscure. Upon completing this course, students will be able to develop a fraud scenario, translate this scenario into a fraud profile, and apply appropriate detective tests to a corporate database. Students will be given the opportunity to employ proprietary computer-assisted audit software and data-mining software to practice databases for the purpose of applying their learned skills.
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