Business Analytics


Type of Course Lecture and exercise course
Term Winter term 2020/21
Credits 6 ECTS
Course language English
Responsible Instructors Muntermann, Jan, Prof. Dr.
Bankamp, Steffen, M.Sc.
Dates/Times/Location Lecture: Wednesday, 18:15 - 19:45
Exercise: Thursday, 12:15-13:45
Exam tba
Teaching Format Face-to-face lessons with mandatory online sessions*
*Depending on the further development of the corona pandemic, a changeover to purely online formats may be necessary.


  1. Managerial decision making and computerized support
  2. Business intelligence
  3. Advanced analytics with structured data
  4. Advanced analytics with unstructured data

Learning outcome:

After a successful completion of the course students have acquired the following skills:

  • Understand the basic principles of decision support systems, business intelligence, and advanced analytics.
  • Know and apply a skillset suited for addressing unstructured decision situations that require advanced data processing and analysis.
  • Understand and evaluate methods and tools required in descriptive data analytics.
  • Understand, apply and evaluate approaches for advanced data analytics, especially data and text mining techniques.

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