[ 926BUSI13 ] Subject Business Intelligence

Workload Mode of examination Education level Study areas Responsible person Coordinating university
6 / 12 / 18 ECTS Accumulative subject examination M1 - Master's programme 1. year Business Informatics Michael Schrefl Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Business Informatics 2022W
Objectives Students are enabled to extract, clean, transform and integrate large corporate data sets beyond organizational boundaries into a data warehouse. They are able to apply data mining methods and tools to systematically analyze business processes and corporate data, aiming at linking the data to discover potentially new knowledge on frequent patterns and/or discontinuities. The students are able to enrich data and business processes with semantic technologies to enable the automated interchange of data between organizations. Altogether these skills in data warehousing, data mining, and semantic technologies enable the students to design, implement and use decision support systems.
Subject See the subordinate modules.
Further information 6 ECTS compulsory, 0-12 ECTS optional.

The specialization subject Business Intelligence can be completed with 6, 12, or 18 ECTS points. It comprises the following modules that can be chosen in arbitrary order.

If one of the modules of Business Intelligence was chosen in the bachelor program, at least one further module with 6 ECTS is compulsory in the master program.

Subordinated subjects, modules and lectures