Applied Data Science and Business Analytics Numerus Clausus

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

Applied Data Science and Business Analytics NC

Applied Data Science and Business Analytics NC

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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 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 Applied Data Science and Business Analytics Programs (based on Numerus Clausus)

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Most selective Applied Data Science and Business Analytics universities

Top 1 Most Selective Applied Data Science and Business Analytics University

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

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Applied Data Science and Business Analytics
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+ Business Analytics+ Data Science+ Business Analytics and Data Science+ Data Engineering+ Growth Hacking
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Applied Data Science and Business Analytics 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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