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Study Big Data and Business Analytics in Heidelberg (2026/27)
Studying Big Data & Business Analytics as an international student prepares you to manage and analyze large, complex datasets to drive strategic decision-making in modern organizations. The program combines data engineering, statistics, machine learning, cloud computing, and visualization with business subjects such as marketing analytics, finance, operations management, and strategy. Students work on real-world projects including customer behavior analysis, demand forecasting, fraud detection, and process optimization using industry tools. Germany and other leading study destinations offer strong industry partnerships and practical learning environments.
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Intakes Winter & Spring & Autumn
Full Subject Profile Big Data and Business Analytics in Heidelberg
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Top 1 Big Data and Business Analytics Universities (by popularity)
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Most Popular Big Data and Business Analytics Study Programs in Heidelberg
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Fees & Costs
German Students 
Other EU Students 
Non-EU Students German StudentsDegree
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 Big Data and Business Analytics programs in Heidelberg.
German Students Other EU Students 
Non-EU Students Non-EU StudentsWinter Semester
Summer Semester
| Admission-restricted courses | Admission-free courses | |
|---|---|---|
| Master | No courses | 01 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. 
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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