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University of Oldenburg - Department of Computing Science Master Program Digitalized Energy Systems
University of Oldenburg - Department of Computing Science

Master Program Digitalized Energy Systems

Oldenburg, Germany

4 Semesters


Full time

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* Semester contribution EUR 404.01


To mitigate climate change and thus as a matter of urgency, the energy transition represents one of the greatest technological and societal challenges of our time. The main challenge for a reliable, economically and ecologically feasible energy supply lies in the efficient, secure, and reliable digitalization of a technical system that integrates a huge number of fluctuating energy generation, consumers, storage facilities, and grid components that are difficult to forecast into a technically stable and financially viable overall system. In addition, the energy system is a critical infrastructure – the lifeline of modern societies. The failure or impairment of such a system would result in long-lasting supply bottlenecks, significant disruptions to public safety, or other dramatic effects.

This degree program enables graduates to conduct research at research institutions or universities on the still missing elements of a successful digitalization of the energy domain and thus on the implementation of the energy transition or to occupy diverse positions in the energy industry due to the high practical relevance of the study content.

The Master's program DES offers a focused scientific study program based on a completed Bachelor's degree in computer science or a closely related subject. The study program offers an interdisciplinary approach to the development and analysis of the system intelligence required for energy supply in the future energy grid.

In addition to a clear understanding of the fundamentals, principles, and methods of computer science in its applications to energy systems, graduates of this degree program will have a deeper insight into methods, problems, and findings from the latest research in energy informatics. They can assess methods for developing and analyzing the required system intelligence, and select and apply them appropriately to solve problems. They have in-depth knowledge of algorithms for adaptive control as well as for control and continuous dynamic optimization of the complex and very extensive (European) power supply system. To this end, the students possess, in particular, competencies for complexity control through decomposition and abstraction, for the identification of and focus on generalizable principles and the search for decoupling points for the simplified control of the complex overall system.



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