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Data Analytics for Accounting: Case-based Approach  

This course is essential in equipping students with the ability to understand the fundamental of data analytics and to visualize the data. The content includes descriptive, diagnostic, predictive and prescriptive analytics. Students will comprehend how to create appropriate chart elements, using graphs, coordinates, as well as implementing principles of visualization designs to identify patterns and insight from data. Students will be able to make sense of and to communicate with data to relevant audiences. The course will equip students with hands-on knowledge using popular data analytics tools (i.e., Caseware IDEA, PowerBI, Tableau, and Microsoft Azure Machine Learning).  

Find full course description in the course catalogue.    


The grade for the course consists of two parts:

  • Coursework counting app. 40 %
  • 3-hour written exam counting app. 60 %

The written exam is online and presence in Aarhus is not nescessary.

Admission Requirements

Course specific:

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.


Exchange students: nomination from your home university

Freemovers: documentation for English Langauge proficiency

You can read more about admission here


Arif Perdana


Academic profile



Arif Perdana is Assistant Professor in the Accountancy program at Singapore Institute of Technology. His academic interests focus around Information Systems. His specialty is in business information systems, emerging technology, data analytics, and business process modelling.