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Forensic Accounting Fraud Analytics 2018

Summer School of , 10 ECTS
Economics, commerce, management and accounting

Institution Aarhus University (AU)
Campus Aarhus
Duration 3 weeks
Tuition per term (Non-EU/EAA/CH) 1717 EUR
Tuition per term (EU/EAA/CH) 692 EUR
Website http://www.au.dk/en/summeruniversity/courses/forensicaccountingfraudanalytics/

Did you know that according to the “Fight Against Fraud 2015 Report” by the Commission to the European Parliament and the Council, in 2015 alone, 22,349 irregularities in relation to revenue and expenditure were reported by the EU Member States, involving a total amount of approximately EUR 3.21 billion in EU funds?

All EU Member States were specifically recommended to strengthen their fraud detection and/or reporting systems took important steps to improve their national system. It is certain that these kind of fraudulent activities are not common but the cost is deadly. Therefore it is a fact that  more and more government organisations and private companies will seek employees who have the necessary background to build and run fraud detection mechanisms.
In this course, we are going to learn how to use data analytics techniques including some data mining tools to identify irregularities, anomalies and potential fraud cases in accounting data. 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 system in place to detect fraud, problems, or anomalies in accounting data. Students will learn both theoretical and practical sides of analyzing large size real data sets.

For Further Information You can find more information on the programme here www.au.dk/summeruniversity
If you have any questions regarding the programme please write
summeruniversity@au.dk
 



Summer

Application date
Mar 15
Start date
Jul 03

Aarhus

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