Applied Mathematics and Data Science NC

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Applied Mathematics and Data Science Numerus Clausus

Applied Mathematics and Data Science Programs in Germany with Admission Restriction - Numerus Clausus/NC (2026/27)

Applied Mathematics and Data Science NC

Applied Mathematics and Data Science NC

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Studying Applied Mathematics and Data Science as an international student equips you with strong quantitative skills to model complex systems and extract insights from large datasets across science, engineering, and business. The program combines advanced mathematics, statistics, machine learning, optimization, and programming with hands-on data projects in fields such as finance, logistics, healthcare, and technology. Germany and other leading study destinations offer excellent interdisciplinary programs, modern computing facilities, and strong links to industry and research institutions.

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Most Selective Applied Mathematics and Data Science 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 Applied Mathematics and Data Science Program (based on Numerus Clausus)

Winter Semester 2025/2026
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Hochschule Bielefeld - University of Applied Sciences and Arts
Data Science (Research Master)
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Top 0 Most Selective Applied Mathematics and Data Science University

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Applied Mathematics and Data Science in Germany: All Admission-Restricted Programs

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Applied Mathematics and Data Science NC

  • Most selective programs
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  • Glossary
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Applied Mathematics and Data Science 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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