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Study Predictive Analytics in Dortmund (2026/27)
Studying Predictive Analytics as an international student equips you with the skills to use data, statistics, and machine learning to forecast trends, behaviors, and risks across business, healthcare, finance, and engineering. The program combines applied statistics, data mining, programming, and AI modeling with real-world case projects and industry tools. Germany and other leading study destinations offer strong practice-oriented programs, modern data labs, and close cooperation with companies. Graduates gain highly sought-after expertise for international careers in data science, business analytics, forecasting, risk analysis, marketing analytics, and strategic consulting worldwide.
Quick Facts
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English-taught programs 1
Universities 1
Intakes Winter & Summer
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Most Popular Predictive Analytics Universities in Dortmund
Top 1 Predictive Analytics Universities (by popularity)
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Most Popular Predictive Analytics Study Programs in Dortmund
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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 Predictive Analytics programs in Dortmund.
German Students Other EU Students 
Non-EU Students Non-EU StudentsWinter Semester
Summer Semester
| Admission-restricted courses | Admission-free courses | |
|---|---|---|
| Master | No courses | 15 June |
Master
Admission-restricted courses
No courses
Admission-free courses
15 June
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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