12 July 2019
Forensic Accounting Fraud Analytics
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.
EUR 345: Any student with a preapproval from a Danish Institution or a nomination from an International Partner: No Fee
EU/EEA students without a preapproval or nomination: 345 EUR
NON-EU/EEA students without a preapproval or nomination: 858 EUR
Books, course materials, social programme, and housing are not included in the fee.