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Data Science in Medicine Study Programs in Germany: Application Deadlines (2026/27)
Data Science in Medicine: Deadlines
Studying Data Science in Medicine as an international student prepares you to turn complex medical data into actionable insights that improve diagnostics, treatment planning, and healthcare research. The program combines data analytics, machine learning, statistics, and programming with medical informatics, bioinformatics, health data management, and clinical research methods. Germany and other leading study destinations offer strong interdisciplinary programs with access to hospital datasets, modern computing facilities, and close collaboration with research institutes and health-tech companies.
Show more...Data Science in Medicine Application Deadlines for Summer Semester 2027
Below are the most frequent application deadlines for Data Science in Medicine study programs for the Summer Semester 2027.
German Students 
Other EU Students 
Non-EU Students Non-EU Students| Admission-restricted courses | Admission-free courses | Still open for application | |
|---|---|---|---|
| Bachelor | No courses | 31 March | 100% of Bachelor programs |
Admission-restricted courses
No courses
Admission-free courses
31 March
100% still open for application
Specific courses may have different application deadlines. Please always double-check the information individually. Data Science in Medicine Application Deadlines for Winter Semester 2026/2027
Below are the most frequent application deadlines for Data Science in Medicine study programs for the Winter Semester 2026/2027.
German Students Other EU Students Non-EU Students Non-EU Students| Admission-restricted courses | Admission-free courses | Still open for application | |
|---|---|---|---|
| Bachelor | No courses | 30 September | 0% of Bachelor programs |
Admission-restricted courses
No courses
Admission-free courses
30 September
0% still open for application
Specific courses may have different application deadlines. Please always double-check the information individually. 
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