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This entry is from Winter semester 2019/20 and might be obsolete. No current equivalent could be found.

Multivariate Statistical Methods
(dt. Multivariate Statistische Methoden)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
Lecture, recitation class,
180 hours (attendance: 45 hours preparation and follow-up: 45 hours additional studies: 45 hours Klausurvorbereitung and Klausur: 45 hours)
Credit points,
formal requirements
6 CP
Course requirement(s):
Examination type: Written examination
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Business Administration.
One semester,
each summer semester
Person in charge of the module's outline Prof. Dr. Karlheinz Fleischer


n.a. (see Qualification Goals and Business Event Announcements)

Qualification Goals

Students are taught methodological and application skills in statistical analysis techniques. Various multivariate statistical methods are covered in this module. The module strengthens methodological competencies in the area of quantitative methods, especially in the area of statistical analysis procedures.

Students gain in-depth knowledge in specific application-oriented methods. They learn to apply statistical concepts to specific problems, to develop solution methods and to interpret the results appropriately and professionally. They understand the importance and necessity of the assumptions made, recognize consequences of assumption violations, and learn ways to account for assumption violations through procedural modifications. Transfer skills are expected and reinforced.




Module imported from M.Sc. Business Administration.

When studying M.Sc. Business Mathematics, this module can be attended in the study area Applied Modules in Business Mathematics.

Recommended Reading

(not specified)

Please note:

This page describes a module according to the latest valid module guide in Winter semester 2019/20. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.