Computer Science  - Teacher Education Academic Secondary Education [Gymnasium] Numerus Clausus

Computer Science - Teacher Education Academic Secondary Education [Gymnasium] Programs in Germany with Admission Restriction - Numerus Clausus/NC (2026/27)

Computer Science  - Teacher Education Academic Secondary Education [Gymnasium] NC

Computer Science - Teacher Education Academic Secondary Education [Gymnasium] NC

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Studying Computer Science – Teaching at Secondary Schools as an international student prepares you to educate the next generation in digital literacy, programming, and computational thinking. The program combines core computer science subjects such as programming, algorithms, databases, networks, and cybersecurity with pedagogy, educational psychology, curriculum design, and supervised classroom training. Germany and other leading study destinations offer strong teacher-training programs with practical school placements and internationally recognized qualifications.

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Most Selective Computer Science - Teacher Education Academic Secondary Education [Gymnasium] 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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Most selective Computer Science - Teacher Education Academic Secondary Education [Gymnasium] universities

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Computer Science - Teacher Education Academic Secondary Education [Gymnasium] in Germany: All Admission-Restricted Programs

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Computer Science - Teacher Education Academic Secondary Education [Gymnasium]
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Computer Science - Teacher Education Academic Secondary Education [Gymnasium] 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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