Universität Wien
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040501 VO Principles of Data Analysis for Marketing and Management Decisions (MA) (2025W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften

This course is particularly targeted at students of the Master's in Business Administration, who wish to take "Marketing & International Marketing" as a major or minor, as well as at students of the Master's in International Business Administration, who have chosen "Marketing & International Marketing" in the in-depth phase. Students who wish to write their Master thesis in "Marketing & International Marketing" are strongly encouraged to attend.

This course is also open to students from other programs as well as guest students who meet the study requirements. Note that this course can also be complemented by the UK Repetitorium: Data Analysis for Marketing Decisions in practice (DAMDiP - Course 040213) which trains students in analyzing data with hands-on software applications in the Computer Lab.
Th 02.10. 09:45-11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

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Details

Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 06.10. 11:30 - 13:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 09.10. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 16.10. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 20.10. 11:30 - 13:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 23.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 06.11. 09:45 - 11:15 Digital
  • Thursday 20.11. 09:45 - 11:15 Digital
  • Thursday 27.11. 09:45 - 11:15 Digital
  • Monday 01.12. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 04.12. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 11.12. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Assessment and permitted materials

Minimum requirements and assessment criteria

Examination topics

Reading list

Association in the course directory

Last modified: Tu 29.07.2025 15:45