Course details: Data Mining

Module number: 263032-301, last updated 13 May 2026

Content

The content of the module includes, among other things,

the fundamentals and classification of data mining,
a process model for conducting data mining projects, and
selected methods and algorithms for pattern recognition and the generation of predictive models in a business context.

Qualification objectives

After successfully completing the module, students will have a basic understanding of how to conduct data mining projects, will be familiar with fundamental methods and will be able to select them in a targeted manner, initiate the necessary data preparation and critically assess the results.

Teaching formats

The teaching formats of the module are

lecture: Data Mining (2 weekly teaching hours),
tutorial: Data Mining (1 weekly teaching hour).

Language

The courses may be held in either German or English.

In the examination, the questions will be set in English. Students may complete the examination assessment in either German or English.

Target group

The course is included in the following degree programmes (list not necessarily exhaustive):

Master Business Intelligence & Analytics
Master Finance
Master Value Chain Management
Master Entrepreneurship & Innovation
Master Business & Economics
ERASMUS and PROMOS students