From Data to Insights: Driving Corporate Performance
Updated Information With Regard to Covid-19
This course will be offered in the coming summer term starting with the first session on April 21, 2020.
Updated information regarding the course schedule and application has already been integrated into the respective sections of this course page.
Last updated: April 7, 2020.
Course Schedule
DAY | TIME | FoRmat | FREQUENCY | DATE | ROOM |
---|---|---|---|---|---|
Tuesday | Early session: 09:00-12:00 Late session: 13:00-16:00 |
Lecture | Weekly | 21.04.2020-26.05.2020 | Online |
Thursday | Early session: 12:15-14:00 Late session: 14:00-15:45 |
Lecture | Single date | 23.04.2020 | Online |
Thursday |
Early session: 12:15-14:00 |
Exercise | Weekly | 30.04.2020-14.05.2020 | Online |
Further information regarding the online class rooms will be communicated via email, during course sessions and on Learnweb.
Additional Information
Credits: 6 CP/ECTS, equivalent to 4 SWS
During the course, please communicate and stay updated via the course page on Learnweb here.
More information on the course can be found here.
Lecturer(s)
Prof. Dr. Martin Artz (responsible)
Silvan Kindinger (accompanying)
Application
For attending this course, you will need to apply via e-mail (management.control@wiwi.uni-muenster.de).
The (new) deadline for applications is the 14th of April.
We will inform applicants and confirm participation until the 20th of April via e-mail.
In case of vacancies after the 20th of April, registering during the first week of the course may be possible.
Your application package should consist of your CV, your transcript of records, and a signed letter of commitment, which you can find here.
Please ensure that you have carefully read the letter of commitment, as your adherence to it is vital.
In your application (email) you have to indicate whether you want to attend the early or late session.
Switching between the sessions during the course is not possible (e.g., attending the early sessions in the first week and late sessions in the second week of the course).
Further, state whether you simply prefer to or must attend the early or late session.
If you must be assigned to a respective session, provide sufficient reasoning (e.g., sessions collide with other courses) and proof.