Learn more about the academic programs we are delivering in Summer 2025. If you have any questions about part-time studies, please contact us.
Every day, thousands of businesses are victimized by fraud. On average, a typical organization loses 5% or more of its revenues to fraud each year. Who commits these crimes? Why? And, moreover, how? In this course, you will learn valuable techniques to help you find answers to these important questions, so you can take appropriate action.
The course provides a variety of theoretical and technical insights. Additionally, the course will demonstrate anti-fraud strategies which can be used to spot fraudulent acts as they occur. Strategies are illustrated by several real-life case studies and examples, and the course features code examples in Excel.
The target audience of this course is industry professionals such as bankers, insurance professionals, and sales leaders, who are seeking to make a move into the fraud detection/prevention department by upgrading their skills to examine ongoing financial transactions.
The course presents advanced concepts of how to use analytics in today's anti-fraud practices. The course begins by reviewing the significance of financial fraud, its various forms, examples from distinct industries, and the multiple challenges organizations face in the ongoing fight against fraud. We will also explore practical approaches based on advanced statistical techniques used to analyze imbalanced data sets of financial transactions. This is a typical fraud identification problem since among thousands of transactions, usually only a few of these transactions are fraudulent. The course concludes by extensively discussing social networks for fraud detection.
For more information, please contact Teresa Artuso at teresa.artuso@senecapolytechnic.ca.