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CIIS: Ranked #1 for research excellence in Germany

The University of Cologne’s Institute for Information Systems holds its position as the leading institution in the research field.

Drone image of the WiSo high-rise and the extension building. Text: "AIS Research Ranking 2024 - #1 CIIS Information Systems"

In the current Research Ranking of the Association for Information Systems (AIS), the Cologne Institute for Information Systems (CIIS) of the Faculty of Management, Economics and Social Sciences again comes in at the top position: it is ranked first in Germany. In Europe, the CIIS is ranked fourth and 38th internationally, placing the institute in the group of the top fifty research institutions in the field of information systems worldwide.

The ranking is based on the number of research publications in eight leading academic IS journals in the last five years, i.e., from 2019 to 2023.
The AIS is the premier professional association for individuals and organizations who lead the research, teaching, practice and study of information systems worldwide.

Since its foundation, the CIIS has been a leading research institution in information systems. The institute brings together research topics such as artificial intelligence, digital transformation, digital innovation and sustainability – with applications in various areas including energy, mobility, financial and crypto markets, health and logistics.

The institute’s Master’s programme in Information Systems offers an interdisciplinary approach with a focus on three areas: Business Analytics and Data Science, Digital Innovation and Entrepreneurship and Digital Sustainable Society. These areas provide students with practical and theoretical tools to address current societal challenges in business, society and research. The CIIS has also introduced the new Master’s programme Business Analytics & Econometrics’. This programme offers a unique blend of traditional analytics (e.g., statistics, econometrics, optimization and simulation) and modern analytical approaches (e.g., machine learning and artificial intelligence) and applies these approaches to business, management and entrepreneurship.