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Study Economics with Data Science in Stuttgart (2026/27)
Economics with Data Science combines economic analysis with modern data-driven methods and prepares students to understand complex economic relationships using large amounts of data. The program covers topics such as microeconomics and macroeconomics, statistics, programming, machine learning, and data-based decision-making models. Students learn to identify economic trends, make forecasts, and develop data-based strategies for companies, markets, or political institutions. Graduates are particularly sought after in areas such as economic research, consulting, the financial sector, tech companies, or data analytics teams, where analytical thinking and data science skills come together.
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Full Subject Profile Economics with Data Science in Stuttgart
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Most Popular Economics with Data Science Universities in Stuttgart
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Most Popular Economics with Data Science Study Programs in Stuttgart
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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 Economics with Data Science programs in Stuttgart.
German Students Other EU Students 
Non-EU Students Non-EU StudentsWinter Semester
Summer Semester
| Admission-restricted courses | Admission-free courses | |
|---|---|---|
| Master | 15 June | No courses |
Master
Admission-restricted courses
15 June
Admission-free courses
No courses
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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