Institute for Business Information Technology (BIT)

Information technology in companies and administration

Information technology in companies and administration is the focus of the members of our institute, both in teaching and research. One focus is the cooperation with companies and institutions, in which teaching and training are combined with applied research. Theses, such as master's, diploma or bachelor's theses both full-time and distance learning deal with topics in which current developments in research are examined and adapted to specific problems in companies, organizations or administration.

The BIT works on the development of the university's IT infrastructure:

Focus of work

  • Business processes, analysis and redesign
  • Software system design and development
  • Knowledge management in particular using information technology
  • Databases in the corporate environment
  • Data modeling and database design
  • Data und Process Mining und Process/Business Intelligence
  • Planning and optimization problems
  • Artificial intelligence in business informatics (KIWI working group)
  • Application systems in companies and administration
  • digital innovation managementresearch >> / projects >>
  • Enterprise modelling and enterprise architecture management


institute members

Prof. Dr. Erhard Alde 
Software development, UML, business process modeling, BPMN, personnel information systems

Prof. Dr. Rüdiger Blach
Internet technologies, operating systems, Unix / Linux, system programming, Python

Prof. Dr. Jan Helmke
Business process modeling, ERP systems, SAP

Prof. Dr. Harald Mumm
Application programming, web shops, route optimization

Prof. Dr. rer. nat. Marianne Schmolke
business informatics/ Business processes and software architectures

Prof. Dr. Rüdiger Steffan
Database-based web applications, database design, data warehousing & OLAP, Java EE, Oracle

Prof. Dr. Reinhard Weck 
Information management, computer science and society, rhetoric

Prof. Dr.-Ing. Matthias Wißotzki
business informatics, operational models

Working group KIWI - Artificial Intelligence in Business Informatics

Prof. Dr. Jürgen Cleve
Data mining, knime, artificial intelligence, Prolog, basics of computer science

Prof. Dr. Uwe Lämmel
Knowledge-based systems, programming, Java, IT-based knowledge management, Wiki, ontologies



degree course - Business Informatics