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Behavioural Data Science Master Programs in Germany: Application Deadlines (2026/27)
Behavioural Data Science Master: Deadlines
Studying Behavioural Data Science in Germany is an excellent choice because the country combines strong research in psychology, economics, and data science with a growing demand for human-centered analytics. You’ll learn how to analyze behavioural data to understand decision-making, consumer behavior, and social dynamics, supported by rigorous scientific methods and real-world applications. With Germany’s emphasis on ethical data use, interdisciplinary research, and industry collaboration, it offers an ideal foundation for careers in data analytics, behavioural research, policy analysis, and human-focused AI development.
Behavioural Data Science Master: Application Deadlines for Summer Semester 2027
Below are the most frequent application deadlines for Behavioural Data Science Master programs for the Summer Semester 2027.
German Students 
Other EU Students 
Non-EU Students | Admission-restricted courses | Admission-free courses | Still open for application | |
|---|---|---|---|
| Master | 15 January | 15 March | >90% of Master programs |
Master
Admission-restricted courses
15 January
Admission-free courses
15 March
>90% still open for application
Specific courses may have different application deadlines. Please always double-check the information individually. Behavioural Data Science Master: Application Deadlines for Winter Semester 2027/2028
Below are the most frequent application deadlines for Behavioural Data Science Master programs for the Winter Semester 2027/2028.
German Students Other EU Students Non-EU Students | Admission-restricted courses | Admission-free courses | Still open for application | |
|---|---|---|---|
| Master | 15 July | 15 July | 100% of Master programs |
Master
Admission-restricted courses
15 July
Admission-free courses
15 July
100% still open for application
Specific courses may have different application deadlines. Please always double-check the information individually. 
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