Big Data and Business Analytics Master Application Deadlines

Big Data and Business Analytics Master Programs in Germany: Application Deadlines (2026/27)

Studying Big Data & Business Analytics as an international student prepares you to manage and analyze large, complex datasets to drive strategic decision-making in modern organizations. The program combines data engineering, statistics, machine learning, cloud computing, and visualization with business subjects such as marketing analytics, finance, operations management, and strategy. Students work on real-world projects including customer behavior analysis, demand forecasting, fraud detection, and process optimization using industry tools.

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Big Data and Business Analytics Master: Application Deadlines for Summer Semester 2027

Below are the most frequent application deadlines for Big Data and Business Analytics 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
Master15 January15 January100% of Master programs
Master
Admission-restricted courses
15 January
Admission-free courses
15 January
100% still open for application
Specific courses may have different application deadlines. Please always double-check the information individually.

Big Data and Business Analytics Master: Application Deadlines for Winter Semester 2026/2027

Below are the most frequent application deadlines for Big Data and Business Analytics Master programs for the Winter Semester 2026/2027.

German Students
Other EU Students
Non-EU Students
Admission-restricted courses Admission-free courses Still open for application
Master15 June15 July86% of Master programs
Master
Admission-restricted courses
15 June
Admission-free courses
15 July
86% still open for application
Specific courses may have different application deadlines. Please always double-check the information individually.

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Big Data and Business Analytics in Germany: All Master programs with application deadlines

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