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| Detailed information |
| Original study plan |
Master's programme Digital Energy Solutions 2026W |
| Learning Outcomes |
Competences |
| Students can analyze the concept and role of data spaces in digital ecosystems and evaluate their contribution to secure, sovereign, and interoperable data sharing. They understand governance frameworks, reference architectures, and technical enablers, and can apply them to practical use cases. Students are able to assess applications of data spaces in energy, mobility, logistics, and Industry 4.0, integrating technical, legal, and economic perspectives.
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| Skills |
Knowledge |
- Understand the concept and role of data spaces in digital ecosystems (K5)
- Analyze the principles of secure, sovereign, and interoperable data sharing (K6)
- Know and evaluate data governance, sovereignty frameworks, interoperability standards, and trust mechanisms (K5)
- Understand and compare reference architectures, including International Data Spaces (IDS) and the GAIA-X initiative (K6)
- Apply technical enablers such as identity and access management, usage control, semantic data modeling, and connector technologies to data space design (K4–K6)
- Analyze applications of data spaces in smart grids, digital energy solutions, energy markets, mobility, logistics, and Industry 4.0 (K5)
- Integrate technical, legal, and business considerations in the evaluation of data space implementations and business models (K6)
- Communicate effectively across disciplines by using the appropriate terminology and frameworks (K4)
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- Concept and role of data spaces in digital ecosystems
- Principles of secure, sovereign, and interoperable data sharing
- Cross-organizational and cross-domain collaboration
- Governance frameworks:
- Data governance and sovereignty
- Interoperability standards
- Trust frameworks for data sharing
- Reference architectures: International Data Spaces (IDS), GAIA-X
- Relevance and applications in the energy sector
- Technical enablers:
- Identity and access management
- Data usage control and policies
- Semantic data modeling and ontologies
- Connector technologies and infrastructure
- Applications and case studies:
- Smart grids and digital energy solutions
- Energy markets and flexibility platforms
- Mobility and logistics
- Industry 4.0 use cases
- Integration of perspectives:
- Technical design and implementation
- Legal and regulatory aspects
- Business models and economic evaluation
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| Criteria for evaluation |
Final exam
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| Methods |
Lecture, discussion, course material, exercise examples
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| Language |
English |
| Study material |
Course materials (presentation slides) are made available via Moodle
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| Changing subject? |
No |
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