Study Big Data in Würzburg
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Study Big Data in Würzburg (2026/27)

Big Data programs in Germany prepare international students to transform massive, complex datasets into actionable insights at a time when global data volumes are projected to reach 175 zettabytes by 2025. Offered at top institutions such as the Technical University of Berlin, the University of Hildesheim, and the Frankfurt School of Finance & Management, these English-taught degrees combine computer science, statistics, and business analytics with extensive industry collaboration. Students gain hands-on experience through real-world projects—building predictive maintenance systems for Volkswagen, optimizing telecom networks with Deutsche Telekom, or designing customer analytics models for Lufthansa—while mastering tools such as Apache Spark, Hadoop, NoSQL databases, and leading cloud platforms (AWS, Azure, Google Cloud). Germany’s role as Europe’s industrial powerhouse, paired with its rigorous GDPR-driven data protection framework, ensures graduates leave with both technical mastery and compliance expertise.

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Fees & Costs

German Students
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Tuition Fee
Bachelor
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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 programs in Würzburg.
German Students
Other EU Students
Non-EU Students
Non-EU Students
Winter Semester
Summer Semester
Admission-restricted courses Admission-free courses
BachelorNo courses15 July
Bachelor
Admission-restricted courses
No courses
Admission-free courses
15 July
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 Big Data Programs in Würzburg

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Big Data
Suggestions
+ Data Science+ Applied Data Science+ Data Analytics+ Applied Artificial Intelligence+ Applied Mathematics and Data Science
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Würzburg
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