The language of instruction is English. Participants can also choose to write their Master's theses in German.
The application period starts on 15 March for the following winter semester.
The application deadline is 15 July, and the deadline for international applicants is 15 June.
To mitigate climate change is a matter of urgency, and thus, 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 digitalisation of a technical system that integrates a huge, fluctuating, and difficult-to-forecast number of energy generators, consumers, storage facilities and grid components 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 programme enables graduates to conduct research at research institutions or universities on the still missing elements of a successful digitalisation in 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 programme consists of a compulsory part, which teaches core competences in the field of designing and engineering of cyber-physical energy systems. These competences reflect the diversity of energy informatics systems and their fields of application and, together with various thematic specialisation options, allow for a meaningful deepening and specialisation with respect to individual interests. Different domain-specific application perspectives are taught independently so that students acquire broad application knowledge that goes beyond the specific energy system class. Societal and socio-technical issues are also represented as a cross-sectional topic.
The courses cover the following topics and more:
- Smart grids
- Renewable energy
- (Distributed) Artificial intelligence
- Co-simulation
- Design and assessment of experiments
- Control theory
- Critical engineering
- Energy markets
- Requirements engineering
- Modelling and control
- Cyber-resilience
In a cross-group research project, which addresses control at the component level, communication, and also the use of agents in the context of optimisation in energy systems, the learned contents are consolidated and tested in practice.