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Study Explainable AI (XAI) in Cologne (2026/27)
Studying Explainable AI (XAI) focuses on making artificial intelligence systems transparent, interpretable, and trustworthy. You'll develop the skills to understand and explain how complex models make decisions—essential in high-stakes fields like healthcare, finance, and public policy. With this expertise, you'll learn to balance performance with accountability, enabling responsible AI development that supports fairness, ethical use, and human trust.
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Most Popular Explainable AI (XAI) Universities in Cologne
Top 1 Explainable AI (XAI) Universities (by popularity)
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Most Popular Explainable AI (XAI) Study Programs in Cologne
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Fees & Costs
German Students 
Other EU Students 
Non-EU Students German StudentsDegree
Tuition Fee
Master
5,000 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 Explainable AI (XAI) programs in Cologne.
German Students Other EU Students 
Non-EU Students Non-EU StudentsWinter Semester
Summer Semester
| Admission-restricted courses | Admission-free courses | |
|---|---|---|
| Master | No courses | No deadlines (apply anytime) |
Master
Admission-restricted courses
No courses
Admission-free courses
No deadlines (apply anytime)
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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