Study Computational and Data Science in Heidelberg
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Study Computational and Data Science in Heidelberg (2026/27)

Studying Computational and Data Science as an international student prepares you to analyze complex datasets and develop algorithms that drive innovation across science, business, and technology. The program combines mathematics, statistics, programming, machine learning, and high-performance computing with applied projects in fields such as healthcare, engineering, and finance. Germany and other leading study destinations offer strong research environments, modern computing facilities, and close links to industry. Graduates gain highly in-demand skills and excellent international career prospects in data science, AI development, research, consulting, and technology innovation worldwide.

Quick Facts
Study programs
4
English English-taught programs
4
Universities
2
Intakes
Winter  &  Summer
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394 courses available

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Fees & Costs

German Students
Other EU Students
Non-EU Students
German Students
Degree
Tuition Fee
Master
0 - 8,280 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 Computational and Data Science programs in Heidelberg.
German Students
Other EU Students
Non-EU Students
Non-EU Students
Winter Semester
Summer Semester
Admission-restricted courses Admission-free courses
Master15 MayNo information
Master
Admission-restricted courses
15 May
Admission-free courses
No information
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
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Winter Semester 2024/2025

Top 3 Most Selective Computational and Data Science Programs in Heidelberg (based on Numerus Clausus)

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All Computational and Data Science Programs in Heidelberg

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What to study?
Computational and Data Science
Suggestions
+ Data Science+ Sensor Technology+ Applied Computer Science and Artificial Intelligence+ Computer Science+ Computing
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Heidelberg
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