Machine Learning and Data Analytics English Programs Numerus Clausus

English-taught Machine Learning and Data Analytics Programs in Germany with Admission Restriction — Numerus Clausus/NC (2026/27)

Machine Learning and Data Analytics English Programs with NC

Machine Learning and Data Analytics English Programs with NC

Studying Machine Learning and Data Analytics as an international student prepares you to transform large datasets into predictive models and intelligent solutions across industries. The program combines statistics, linear algebra, programming (Python/R), machine learning algorithms, deep learning, data engineering, cloud platforms, and visualization with hands-on projects using real-world datasets. Germany and other leading study destinations offer strong applied research environments and partnerships with tech firms, automotive companies, and AI startups.

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Most Selective English-taught Machine Learning and Data Analytics 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 Machine Learning and Data Analytics English Program (based on Numerus Clausus)

Winter Semester 2024/2025
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Universities with the most selective English-taught Machine Learning and Data Analytics programs

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Disclaimer: Each study program has its own specific language requirements. Hence, we strongly recommend checking each program individually for complete information about language requirements.

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All English-taught Machine Learning and Data Analytics Programs in Germany with Admission Restriction

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Machine Learning and Data Analytics English 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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