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Study Business Analytics and Data Science in Stralsund (2026/27)
Studying Business Analytics & Data Science as an international student equips you with the skills to turn large datasets into actionable business insights. The program combines statistics, machine learning, data engineering, and programming with business strategy, marketing analytics, finance, and operations management. Students work on real-world projects such as customer behavior analysis, demand forecasting, risk modeling, and process optimization using modern analytics tools. Germany and other leading study destinations offer practice-oriented programs with strong connections to industry and startups.
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Most Popular Business Analytics and Data Science Universities in Stralsund
Top 1 Business Analytics and Data Science Universities (by popularity)
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Most Popular Business Analytics and Data Science Study Programs in Stralsund
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Fees & Costs
German Students 
Other EU Students 
Non-EU Students German StudentsDegree
Tuition Fee
Master
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 Business Analytics and Data Science programs in Stralsund.
German Students Other EU Students 
Non-EU Students Non-EU StudentsWinter Semester
Summer Semester
| Admission-restricted courses | Admission-free courses | |
|---|---|---|
| Master | No courses | No information |
Master
Admission-restricted courses
No courses
Admission-free courses
No information
Specific courses may have different application deadlines. Please always double-check the information individually. 
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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