Study Applied Data Science - Continuing Education in Hamburg
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Study Applied Data Science - Continuing Education in Hamburg (2026/27)

Continuing education in Applied Data Science enables professionals to develop practical skills in analyzing and interpreting data while continuing to work. It covers key areas such as data analysis, machine learning, statistical methods, data visualization, and programming with tools like Python or R. These programs are particularly suited for individuals looking to apply data-driven approaches in their current roles or transition into data-focused careers. Flexible formats, including online courses, certifications, and part-time study options, make it easier to balance learning with professional responsibilities.

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Study programs
1
Universities
1
Intakes
Winter  &  Summer
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774 courses available

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Fees & Costs

German Students
Other EU Students
Non-EU Students
German Students
Degree
Tuition Fee
Master
3,120 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 Applied Data Science - Continuing Education programs in Hamburg.
German Students
Other EU Students
Non-EU Students
Non-EU Students
Winter Semester
Summer Semester
Admission-restricted courses Admission-free courses
MasterNo coursesNo deadlines (apply anytime)
Master
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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All Applied Data Science - Continuing Education Programs in Hamburg

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