Fraud Analytics: Leveraging Data and Tools for Anomaly Detection and Fraud Prevention

About

Data Analytics, process of transforming input data into useful information through proper analytic tools, is relevant to all business professionals.This process enhances the decision makers’ ability to use data effectively, in order to better understand the cases that they are dealing with, and to provide better, consistent, and to the point decision models to solve a wide range of business problems. This course is designed to introduce necessary tools and techniques to improve students’ applied data analytics skills in the area of forensic accounting so that they will have the required knowledge and expertise to put an auditing mechanism in place to detect fraud, problems, or anomalies in accounting data. Students will learn both theoretical and practical sides of analyzing large data sets.

Course leader

Mustafa Canbolat

Target group

To apply for the course you must either be enrolled in a bachelor's degree, have a bachelor's degree or have passed a qualifying entry examination.

Furthermore, students must have knowledge within financial accounting and quantitative methods.

Fee info