Machine Learning and Data Analytics study programs

Study Machine Learning and Data Analytics in Germany (2026/27)

Machine Learning and Data Analytics in Germany

Machine Learning and Data Analytics in Germany

Overview Deadlines

Studying Machine Learning and Data Analytics as an international student prepares you to transform large datasets into predictive models and intelligent solutions across industries. The program combines statistics, linear algebra, programming (Python/R), machine learning algorithms, deep learning, data engineering, cloud platforms, and visualization with hands-on projects using real-world datasets. Germany and other leading study destinations offer strong applied research environments and partnerships with tech firms, automotive companies, and AI startups.

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13 courses available

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Fees & Costs

German Students
Other EU Students
Non-EU Students
German Students
Degree
Tuition Fee
Bachelor
0 - 5,700 euros (per semester)
Master
0 - 4,998 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 Machine Learning and Data Analytics study programs in Germany.
German Students
Other EU Students
Non-EU Students
Non-EU Students
Winter Semester
Summer Semester
Admission-restricted courses Admission-free courses
Master15 May01 February
BachelorNo courses15 September
Master
Admission-restricted courses
15 May
Admission-free courses
01 February
Bachelor
Admission-restricted courses
No courses
Admission-free courses
15 September
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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German Students
Other EU Students
Non-EU Students
Non-EU Students
Winter Semester 2024/2025

Top 1 Most Selective Machine Learning and Data Analytics Study Program (based on Numerus Clausus)

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All Machine Learning and Data Analytics Study Programs in Germany

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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
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