Study Data-Driven Business in Heidelberg
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Study Data-Driven Business in Heidelberg (2026/27)

Germany is an ideal destination for studying Data-Driven Business, where analytical rigor meets one of the world's most dynamic commercial landscapes. As Europe's largest economy with a strong industrial base, Germany offers unparalleled opportunities to understand how companies leverage data to optimize operations, personalize customer experiences, and make strategic decisions. German universities excel at combining business fundamentals with technical skills in data analytics, machine learning, and business intelligence—producing graduates who can translate complex datasets into actionable insights. The country's corporate landscape, from global giants like SAP and Siemens to innovative Mittelstand companies, increasingly seeks professionals who can bridge the gap between data science and business strategy.

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Winter  &  Spring  &  Autumn
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Data-Driven Business in Heidelberg

Data-Driven Business in Heidelberg

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Fees & Costs

German Students
Other EU Students
Non-EU Students
German Students
Degree
Tuition Fee
Master
8,280 euros (per semester)
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-Driven Business programs in Heidelberg.
German Students
Other EU Students
Non-EU Students
Non-EU Students
Winter Semester
Summer Semester
Admission-restricted courses Admission-free courses
Master No courses01 January
Master
Admission-restricted courses
No courses
Admission-free courses
01 January
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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Data Science [US Degrее]
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