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Welcome

Welcome to the website of the Chair of Data Science. Our professorship is located at the Research Institute Cyber Defense & Smart Data (CODE) and the Institute for Data Security of the Faculty of Computer Science at the University of the Bundeswehr Munich. Find out more about our work here.

Our interdisciplinary team of the Professorship of Data Science combines expertise from the fields of computer science and computational linguistics to address current and future-oriented research questions in the areas of semantic information processing and knowledge & data engineering.

Our Data Science courses are based on a teaching concept that combines theory and practice. Right from the start, students benefit from the opportunity to directly apply the theoretical knowledge acquired in the lectures in a variety of exercises and diverse practical projects. In this way, the Professorship of Data Science contributes to the excellent academic education of students at the University of the Bundeswehr Munich.

Theory and practice are also combined in the area of research. Therefore, we maintain numerous collaborations with partners from the military, industry and the public sector. The areas of application currently range from the detection of disinformation campaigns and the identification of deepfakes to the use of trustworthy AI in police applications. However, our research also aims to protect against cyber attacks. Information-rich Cyber Threat Intelligence reports provide in-depth insights into the tactics, techniques and procedures of attackers as well as the latest threats and vulnerabilities. The goal is to extract structured knowledge from these reports, which will be transformed into a graph that enables temporal analysis and prediction of correlations based on existing knowledge in the field of cyber security. Another research objective is to develop an early warning system for the vulnerability of objects of protection by analyzing activity data in running apps and user-generated data in other social networks. Users often have accounts on several social networks where they disclose different personal information. By combining all available information, users can be clearly identified, which increases the risk of identity theft or social engineering.

Please contact us if you are also interested in working with us. We look forward to hearing from you!