DECISION 523Q

Fraud Analytics

Duke University · UGRD · Fall 2026

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The cutting edge of fraud detection now combines data analytics with expert analysis. With the processing power and volume of data available to most large businesses, it is now possible to use quantitative techniques to identify potentially fraudulent behavior. In some cases, this behavior can be identified without ever having previously seen the potential fraud pattern. But when a new fraud pattern is detected, these techniques can help identify potential perpetrators and put corrective measures into place. This course will explore analytics techniques currently being used to identify and prevent fraud. They will be looked at in relevant business contexts. This course is for MQM: Business Analytics students.

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Class #duke-DECISION523QFall 2026UGRD3 credits
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