Business Information Systems
Summary
Economics and digitality have grown together and are mutually dependent. This interface is addressed by "Business Information Systems". Here you will learn how and with the help of which tools and systems the digital transformation is being shaped and what influence these changes have on business administration.
Typical Questions
- What do innovative business models for the digital age look like?
- How is digital change taking place in companies and what challenges need to be overcome?
- How can business processes and the application systems that support them be designed?
- What opportunities does data science open up for analytical business management?
Modules (Selection)
Introductory Level
- Business Process Management (Prof. Dr. Wiener)
- Grundlagen Betrieblicher Anwendungssysteme (Prof. Dr. Strahringer)
- Machine Learning for Business Analytics (Prof. Dr. Zschech)
- Process Analytics (Prof. Dr. Zschech)
- Informationssystementwicklung (Prof. Dr. Strahringer)
- Information Systems Success (Prof. Dr. Strahringer)
Advanced Level
- Data-Driven Business Models (Prof. Dr. Wiener)
- Data Visualization (Prof. Dr. Wiener)
- Digital Business Engineering (Prof. Dr. Wiener)
- ERP-Planspiel (Prof. Dr. Strahringer)
- ERP-gestützte Geschäftsprozesse (Prof. Dr. Strahringer)
- Gestaltungsansätze der Business Processes and Systems (Prof. Dr. Strahringer u.a.)
- Gestaltungsaspekte der Advanced Data Analytics (Prof. Dr. Zschech u.a.)
- Artificial Intelligence for Advanced Analytics (Prof. Dr. Zschech)
- Model-based Information Systems Engineering (Dr. habil. Schlieter)
- Projektseminar Software Development (Dr. habil. Schlieter)
Career Prospects
As the economy and digitality continue to grow together, a large job market is opening up for graduates of "Business Information Systems". They can drive digital change in companies and organizations, work in companies that develop information and communication systems, manage projects or advise companies on digital change.