Wilhelm Büchner University of Applied Sciences: Machine Learning and Data Analytics
Wilhelm Büchner University of Applied Sciences

Study Machine Learning and Data Analytics at Wilhelm Büchner University of Applied Sciences (2026/27)

The Wilhelm Büchner Hochschule - Private Fernhochschule Darmstadt, also known as the Wilhelm Büchner University of Applied Sciences, is a private university founded in 1996. With over 6,000 students, it is the largest private technical university in Germany. Located in Darmstadt, a city known as the engineering hub of Central Europe, the university offers students a vibrant academic environment surrounded by renowned industrial sectors. The University specialises in distance and online learning and caters for working professionals who wish to combine their studies with employment.

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WBH: Machine Learning and Data Analytics-related subjects
Quick Facts
Type
University of Applied Sciences (private (state-approved))
Study programs
1
Term model
Semester

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1 courses available

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Wilhelm Büchner University of Applied Sciences Ranking in Machine Learning and Data Analytics

Wilhelm Büchner University of Applied Sciences & Most Popular Machine Learning and Data Analytics Universities in Germany

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Fees & Costs

German Students
Other EU Students
Non-EU Students
German Students
Degree
Tuition Fee
Bachelor
1,584 euros (per semester)

Deadlines

Below are the most frequent application deadlines for Wilhelm Büchner University of Applied Sciences Machine Learning and Data Analytics programs.
German Students
Other EU Students
Non-EU Students
Non-EU Students
Winter Semester
Summer Semester
Admission-restricted courses Admission-free courses
BachelorNo coursesNo deadlines (apply anytime)
Bachelor
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.
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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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Wilhelm Büchner University of Applied Sciences: All Machine Learning and Data Analytics Programs

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What to study?
Machine Learning and Data Analytics
Suggestions
+ Machine Learning+ Computer Science – Dual Studies+ Data Science – Dual Studies+ Artificial Intelligence – Dual Studies+ Applied Computer Science - Dual Studies
Where to study?
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