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Study Artificial Intelligence and Computer Vision in Cham (2026/27)
Cham offers international students a focused technical education at the Technologiecampus, an affiliate of the Deggendorf Institute of Technology specialising in digitalisation, business informatics, and mechatronics. This picturesque town in the Upper Palatinate combines traditional Bavarian character with forward-thinking innovation. Strong partnerships with regional technology companies create valuable internship and career pathways in Bavaria's growing tech sector. The charming medieval old town, nestled in the Bavarian Forest near the Czech border, provides an authentic east Bavarian experience far from tourist crowds.
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Most Popular Artificial Intelligence and Computer Vision Universities in Cham
Top 1 Artificial Intelligence and Computer Vision Universities (by popularity)
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Most Popular Artificial Intelligence and Computer Vision Study Programs in Cham
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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 Artificial Intelligence and Computer Vision programs in Cham.
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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