Study Data Science in Medicine in Ulm
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Study Data Science in Medicine in Ulm (2026/27)

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. Graduates gain highly sought-after skills for international careers in medical data analytics, digital health innovation, biomedical research support, pharmaceutical development, and clinical decision systems worldwide.

Quick Facts
Study programs
1
Universities
1
Intakes
Winter  &  Summer
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151 courses available

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Fees & Costs

German Students
Other EU Students
Non-EU Students
German Students
Degree
Tuition Fee
Bachelor
No tuition fees
Disclaimer: You should use this text as a general guide, but it cannot serve as a guarantee. Keep in mind that there is no universal tuition fee that applies to all study programs and all student groups. Hence, we urge you to always individually double-check the specific fees of the specific study programs on their official websites.

Deadlines

Below are the most frequent application deadlines for Data Science in Medicine programs in Ulm.
German Students
Other EU Students
Non-EU Students
Non-EU Students
Winter Semester
Summer Semester
Admission-restricted courses Admission-free courses
BachelorNo coursesNo information
Bachelor
Admission-restricted courses
No courses
Admission-free courses
No information
Specific courses may have different application deadlines. Please always double-check the information individually.
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Numerus Clausus (Admission Restriction)

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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All Data Science in Medicine Programs in Ulm

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What to study?
Data Science in Medicine
Suggestions
+ Data Science+ Predictive Analytics+ Business Analytics and Data Science+ Data Science in Business+ Medical Data Science
Where to study?
Ulm
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