Computer Science - Online Program NC

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Computer Science - Online Program Numerus Clausus

Computer Science - Online Program Programs in Germany with Admission Restriction - Numerus Clausus/NC (2026/27)

Computer Science - Online Program NC

Computer Science - Online Program NC

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Studying Computer Science as an online program in Germany is an excellent choice for international students seeking a flexible and future-focused education in one of the world’s most in-demand fields. An online Computer Science degree in Germany provides strong foundations in programming, software development, data science, and artificial intelligence, while allowing students to learn from anywhere. With Germany’s global reputation for innovation and technology, students gain high-quality, industry-relevant knowledge that prepares them for international careers.

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Most Selective Computer Science - Online Program 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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Top 1 Most Selective Computer Science - Online Program Program (based on Numerus Clausus)

Winter Semester 2024/2025
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Numerus ClaususAdH-ScoreAcceptance rate
1
LMU - Ludwig-Maximilians-Universität München
Informatik mit integriertem Anwendungsfach (Bachelor/Hauptfach)
language Bachelor of Science
3.4
3.4
No data published by the university.
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Top 0 Most Selective Computer Science - Online Program University

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Computer Science - Online Program in Germany: All Admission-Restricted Programs

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Computer Science - Online Program NC

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Computer Science - Online Program 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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