Machine Learning International Programs: Numerus Clausus

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

Machine Learning International Programs with NC

Machine Learning International Programs with NC

Germany offers international students a premier opportunity to study Machine Learning, combining world-class AI research with one of the strongest industrial innovation ecosystems globally. Programs at top institutions such as the Technical University of Munich, University of Tübingen, and RWTH Aachen provide rigorous foundations in mathematics, statistics, and computer science while advancing into deep learning, reinforcement learning, and natural language processing. Students benefit from access to leading research centers like the German Research Center for Artificial Intelligence (DFKI) and the Max Planck Institute for Intelligent Systems, as well as close collaborations with industry leaders such as BMW, SAP, Siemens, and Bosch applying AI to autonomous driving, predictive maintenance, healthcare, and natural language systems.

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Most Selective International Machine Learning 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 International Program in Machine Learning (based on NC)

Winter Semester 2024/2025
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Universities with the most selective international Machine Learning programs

Top 6 Universities with the most selective international programs in Machine Learning

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All international Machine Learning programs in Germany with admission restriction

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Machine Learning 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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