Prof. Dr. Stephan Schneider
General Business Administration and Economics in IT
24149 Kiel
Room: C03-3.13
Stephan Schneider is a professor of Artificial Intelligence at the Institute of Business Informatics. Information about the individual courses can be found in the module database.
Kiel University of Applied Sciences (since 2009)
Professor of General Business Administration and Business Informatics
Ostwestfalen-Lippe University of Applied Sciences, Höxter Campus (2007–2009)
Formerly named: Lippe and Höxter University of Applied Sciences
Professor of Business Information Systems
Member of the faculty council
Responsible modules: Databases, Enterprise Resource Planning and Data Warehousing, Software Engineering, Fundamentals and Planning of Business IT Systems, IT Law and Service Level Agreements, Business Administration, Marketing, and Customer Relationship Management
European Business School (EBS) (2005–2007)
Doctoral candidate at the Chair of Business Informatics I (formerly Prof. Dr. Susanne Strahringer)
Dissertation topic: Construction of generic data models at the business conceptual level in the operational application context. Method and study.
Awarded the degree Dr. rer. pol.
University of Regensburg (1990–1996)
Studied Business Administration with focus on Business Informatics, Operations Research, Econometrics, and Finance
Research assistant at the Chair of Business Informatics I (formerly Prof. Dr. Gerhard Niemeyer)
Diploma thesis topic: Simulation-supported optimization of manufacturing processes according to Wiendahl
Degree: Diplom-Kaufmann (equivalent to Master of Business Administration)
Stephan Schneider’s research focuses are artificial intelligence, business analytics & intelligence, data science, as well as behavioral and neuroeconomics.
Research projects on Artificial Intelligence (AI):
Artificial intelligence for target group segmentation and the use of measures in customer management (02/2021 to 01/2024)
Artificial intelligence and skilled labor shortage: Component-based artificial intelligence for internal and external handling of the skilled labor shortage and its impacts (01/2024 to 06/2026)
AI-based forecasting and microforecasting of energy generation and consumption in decentralized structures (01/2022 to 12/2023)
Artificial intelligence in cultural infrastructure institutions (12/2019 to 12/2020)
KI@CAU Data Campus (04/2021 to 03/2024)
Further information can be found on ResearchGate.
Office hours in the winter semester 2025/2026 take place on Mondays from 1:30 PM to 2:30 PM in room C03-3.13 (office).