Applied Data Science and Business Analytics International Programs: Numerus Clausus

International Applied Data Science and Business Analytics Programs in Germany with Admission Restriction — Numerus Clausus/NC (2026/27)

Applied Data Science and Business Analytics International Programs with NC

Applied Data Science and Business Analytics International Programs with NC

Studying Applied Data Science & Business Analytics as an international student prepares you to use data-driven methods to solve real business challenges and support strategic decision-making. The program blends statistics, machine learning, programming, and data visualization with business knowledge in finance, marketing, operations, and management, emphasizing practical projects with real company datasets. Germany and other leading study destinations offer strong industry partnerships, modern teaching labs, and applied research opportunities.

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Most Selective International Applied Data Science and Business 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 2 Most Selective International Programs in Applied Data Science and Business Analytics (based on NC)

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Winter Semester 2025/2026
Winter Semester 2024/2025
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Universities with the most selective international Applied Data Science and Business Analytics programs

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All international Applied Data Science and Business Analytics programs in Germany with admission restriction

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Data Science (Research Μastеr)
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Applied Data Science and Business Analytics 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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