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Forensic Accounting Fraud Analytics

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

Institution Aarhus University (AU)
Campus Aarhus
Duration 3 weeks
Tuition per term (Non-EU/EAA/CH) 1700 EUR
Tuition per term (EU/EAA/CH) 680 EUR
Website http://www.au.dk/en/summeruniversity/courses/forensic-accounting-fraud-analytics/

Description


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.

About the Degree

This is a summer course that counts 5 or 10 ECTS. 

Admission

  • You must be enrolled in a university programme at the time of the AU Summer University
  • If you are applying for admission to AU Summer University courses at the Master level, you must hold a relevant Bachelor's degree (or as a minimum 180 ECTS in your study programme
  • The application deadline is March 15th

Tuition

The tuition fee varies from course to course. Find the price on the individual course page. Find more information here http://www.au.dk/en/summeruniversity/feesandlivingexpences/

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

Information from the Danish Agency for Higher Education can be located at http://ufm.dk/en 

You will find information about the Danish assessment of foreign qualifications in Guide todiploma recognition 

About the Educational System in general visit the section The Danish Higher Education System





Summer

Application date
Mar 15
Start date
Jul 04

Aarhus

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