The Industrial PhD Program is organized into subgroups (batches) and focuses on a broad range of content at the interface between Computer Science and Business. The research projects address the question of how companies strategically use digital technologies to develop digital business models, optimize internal systems and processes, and unlock new value creation potential. This refers, for example, to the analysis of digital business and platform models as well as the development of viable digital strategies.

Another sub-area relates to the research on Artificial Intelligence, for instance, through applications in Machine Learning, Agentic AI, intelligent automation, and data-driven decision support. Furthermore, research projects focusing on modern IT and software architectures and cloud technologies are covered, which enable the construction of a scalable, flexible, and secure IT infrastructure. Questions of Cyber Security are also addressed, particularly regarding security architectures, protection against cyber attacks, and the security of digital systems.

Research is always interdisciplinary and embedded in applied management concepts. From this perspective, innovation projects also deal with how digital technologies change the customer interface, personalize products and services, and optimize operational workflows. Overall, the program demonstrates how technological innovation and economic thinking interact to create digital solutions with high practical relevance.

Currently, the following batches are open for application:

• Interdisciplinary Studies in the Context of Cyber Security and Artificial Intelligence (CYBRAI), Intake April 2026

• Interdisciplinary Studies between Software Business, Artificial Intelligence, Customer Orientation, and Computer Science, Intake October 2026

The individual batches generally span three years, depending on the specific progress during the program (e.g., publications). Prerequisites for admission include a first-class Master's degree in a relevant sub-discipline such as Business Administration, Computer Science, or Information Systems, significant professional experience, a well-defined research proposal, and a convincing personality.