Energy Informatics International Programs: Numerus Clausus

International Energy Informatics Programs in Germany with Admission Restriction — Numerus Clausus/NC (2026/27)

Energy Informatics International Programs with NC

Energy Informatics International Programs with NC

Studying Energy Informatics in Germany offers international students the chance to be at the forefront of the global energy transition, learning in a country that is pioneering renewable energy adoption and smart grid technologies. This interdisciplinary programme combines computer science, data analytics, and energy systems engineering to address the digital transformation of the energy sector, covering topics such as smart grids, energy data management, renewable energy integration, and sustainable energy solutions. Germany's ambitious Energiewende (energy transition) policy, alongside its thriving ecosystem of energy companies, research institutes, and innovative start-ups, provides students with exceptional opportunities for hands-on projects, internships, and industry collaboration.

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Most Selective International Energy Informatics Programs

For degree courses with a numerus clausus, part of the study places are allocated according to the grade point average (GPA) of the previous degree. Selection is generally based on how many applicants apply for a place. The higher the grade, the more difficult it is to get onto the course. The German grading system ranges from 1.0 (very good) to 6.0 (unsatisfactory).

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Universities with the most selective international Energy Informatics programs

Top 2 Universities with the most selective international programs in Energy Informatics

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All international Energy Informatics programs in Germany with admission restriction

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Energy Informatics international programs with NC: Glossary

Numerus Clausus (NC)
This Latin term means “limited number” and indicates that a program has restricted admission. In other words, not all applicants can be accepted, so selection is usually based on grades or other criteria when demand exceeds available spots.
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