[ 926BUSI13 ] Subject Business Intelligence
|
|
|
| Es ist eine neuere Version 2022W dieses Fachs/Moduls im Curriculum Master's programme Business Informatics 2023W vorhanden. |
|
| (*) Unfortunately this information is not available in english. |
 |
| 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 2013W |
| 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 |
| | | |
