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Study Generative Design and AI in Potsdam (2026/27)
Studying Generative Design & AI teaches you how artificial intelligence can be used to create innovative design solutions by automatically generating and optimizing multiple possibilities. It equips you with skills to combine creativity, data, and computational methods in fields such as product design, architecture, and engineering. By studying this area, you learn how to use AI-driven tools to improve efficiency, explore new ideas, and develop smarter, more sustainable designs.
Quick Facts
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Intakes Winter & Summer
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Most Popular Generative Design and AI Universities in Potsdam
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Most Popular Generative Design and AI Study Programs in Potsdam
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Fees & Costs
German Students 
Other EU Students 
Non-EU Students German StudentsDegree
Tuition Fee
Master
5,124 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 Generative Design and AI programs in Potsdam.
German Students Other EU Students 
Non-EU Students Non-EU StudentsWinter Semester
Summer Semester
| Admission-restricted courses | Admission-free courses | |
|---|---|---|
| Master | No courses | 01 September |
Master
Admission-restricted courses
No courses
Admission-free courses
01 September
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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