Corporate financial fraud is an unfortunate reality in modern business environments worldwide. The complexity and sophistication of fraudulent schemes has evolved with the stringency of standards and regulations. Scandals such as Enron, Worldcom, and Wirecard, among others, have highlighted the need for prediction and timely detection of fraud before it leads to widespread adverse consequences. This course aims to study the qualitative and quantitative approaches that can be used to identify the precursors of corporate financial fraud. Students will analyze signals of fraud from a variety of sources such as financial statements, and the activity of market participants such as analysts and short-sellers. The course will also introduce students to the use of financial data analytics for prediction of fraud.