Social Data Science Numerus Clausus

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

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Social Data Science programs in Germany offer international students an innovative pathway at the intersection of computational methods and social phenomena, training them to decode human behavior through digital traces at institutions such as the University of Konstanz, TU Kaiserslautern, and the Hertie School in Berlin. Unlike traditional sociology or pure data science, these English-taught degrees address distinctly 21st-century challenges: tracing how misinformation spreads across social networks, using mobility data to uncover urban inequality, examining how algorithmic bias shapes democratic discourse, and analyzing how hashtags spark social movements. The interdisciplinary curriculum combines network analysis, natural language processing, experimental design, and digital ethnography with critical social theory, enabling students to both predict election outcomes from Twitter data and evaluate algorithmic discrimination in hiring platforms.

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Most Selective Social 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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Social Data Science in Germany: All Admission-Restricted Programs

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Social 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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