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This entry is from Winter semester 2025/26 and might be obsolete. You can find a current equivalent here.

Business Analytics powered by process-oriented Artificial Intelligence
(dt. Business Analytics powered by process-oriented Artificial Intelligence)

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
workload		 Lecture (2 SWS) and recitation class (2 SWS),
(attendance: 50 hours, preparation and follow-up: 65 hours, exam preparation: 65 hours)
Credit points,
formal requirements		 6 CP
Course requirement(s):
Examination type: Written examination. IMPORTANT: This module is offered by FB02; the exam can only be retaken twice.
Language,
Grading		 English,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Business Administration.
Duration,
frequency		 One semester,
each winter semester
Person in charge of the module's outline Prof. Dr. Michael Leyer

Contents

In this module, students learn about all aspects of designing data analyses with the aim of answering business management questions. Special emphasis is placed on the role of artificial intelligence. In addition, various data analysis methods are introduced and applied.


Qualification Goals

After completing the module, students will be able to

  • answer business questions with data analysis,
  • describe how artificial intelligence can be used for these purposes and
  • select data and design data models in various small case studies.

Prerequisites

None.


Applicability

Module imported from M.Sc. Business Administration.

When studying M.Sc. Business Informatics, this module can be attended in the study area Compulsory Elective Modules in Business Informatics.


Recommended Reading

(not specified)



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2025/26. 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:

  • Winter 2016/17 (no corresponding element)
  • Summer 2018 (no corresponding element)
  • Winter 2018/19 (no corresponding element)
  • Winter 2019/20 (no corresponding element)
  • Winter 2020/21 (no corresponding element)
  • Summer 2021 (no corresponding element)
  • Winter 2021/22 (no corresponding element)
  • Winter 2022/23 (no corresponding element)
  • Winter 2023/24 (no corresponding element)
  • Winter 2025/26
  • Winter 2026/27

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.