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Study Autonomous Systems AI in Stuttgart (2026/27)
Studying Autonomous Systems AI in Germany is an excellent choice because the country is a global leader in engineering, robotics, and intelligent automation. You’ll learn how to design and develop AI-driven systems that can perceive, decide, and act independently—covering areas such as machine learning, control systems, computer vision, and embedded technologies. With Germany’s strong research institutions and close collaboration between universities and industries in automotive, robotics, and manufacturing, this field offers an ideal foundation for careers in autonomous vehicles, smart robotics, industrial automation, and next-generation AI technologies.
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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 Autonomous Systems AI programs in Stuttgart.
German Students Other EU Students 
Non-EU Students Non-EU StudentsWinter Semester
Summer Semester
| Admission-restricted courses | Admission-free courses | |
|---|---|---|
| Master | No information | No courses |
Master
Admission-restricted courses
No information
Admission-free courses
No courses
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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