Kernvorlesung Wirtschaftsinformatik
Overview and learning objectives
The world of work is undergoing profound change, characterised by technological innovations such as digital transformation, artificial intelligence and business analytics as well as social changes. These developments offer opportunities, but also bring with them challenges that specialists with a broad range of skills need to overcome. In addition to technical knowledge, creativity, critical thinking and problem-solving skills are required to master complex challenges and remain competitive. Interdisciplinary knowledge of economic viability and Computer Science is crucial.
The "Kernvorlesung Wirtschaftsinformatik" offers students a comprehensive overview of the fundamentals of Management Information Systems, with a particular focus on practical methods and tools. Topics such as technology and data management, data analytics, process management as well as digital business models and transformation form the core of the lecture. The aim is to provide a solid understanding of the design and development of information systems that efficiently support business processes. One focus is on the practical application of analytics methods to drive digital transformation in companies and develop innovative business models.
Lecturers
Course information
The course “Kernvorlesung Wirtschaftsinformatik” teaches important technical and methodological fundamentals of technology, data, and process management, as well as business model development. As the increasing availability of data makes advanced analytics methods increasingly relevant, the course also focuses in particular on the introduction and practical application of relevant concepts and methods from the field of business analytics and their role and integration in the digital transformation of companies.
Students who have successfully completed this module...
- are familiar with the theoretically sound concepts and methods of business informatics, particularly in the field of digital business & analytics, and their connections to related disciplines
- can understand the areas of application of digital technologies in the context of organizations and users
- are able to realize the potential benefits of targeted information provision, particularly for the design of information, goods, and money flows, through the appropriate use of digital technologies
- can recognize and evaluate the potential of technology and help shape the resulting changes
- can establish cross-references between the technical and methodological skills they have acquired in order to successfully identify and analyze practical problems, interpret the results, and derive recommendations for action
This course covers the following technical content:
- Introduction to business informatics
- Technology management
- Data management
- Data analytics procedures and methods
- Process management
- Digital business models
- Digital transformation
- Heinzl, A; Mädche, A.; Riedl, R. (2024): Wirtschaftsinformatik – Einführung und Grundlegung, Springer.
- Mertens, P.; Buxmann, P.; Hess, T.; Hinz, O.; Muntermann, J.; Schumann, M. (2023): Grundzüge der Wirtschaftsinformatik, Springer.
- Alpar, P; Alt, R.; Bensberg, F.; Czarnecki, C. (2023): Anwendungsorientierte Wirtschaftsinformatik – Strategische Planung, Entwicklung und Nutzung von Informationssystemen, Springer.
- Leimeister, J. M. (2021): Einführung in die Wirtschaftsinformatik, Springer.
Organizational information
Next course start: WiSe 25/26
Place: O28 H21 (Tuesday) & N25 H8 (Wednesday) & N24-226 (Thursday)
Term: Tuesday, 12:00 to 14:00 p.m. & Wednesday, 10:00 to 12:00 p.m. & Thursday, 10:00 to 12:00 p.m.
Course start: The first event will take place on October 15, 2025, from 10:00 to 12:00 p.m.
ECTS: 9
Lecture (4 SWS) with Exercise (2 SWS)
The course examination consists of a graded written exam and a graded written assignment.
Program: M.Sc. Wirtschaftsinformatik – Digital Business & Analytics