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4/30/2026The Master's program in Machine Learning at the University of Tübingen is a research-oriented program designed to provide advanced knowledge and skills in analyzing, implementing, leveraging, and modifying techniques of machine learning and artificial intelligence. The program is closely linked to the Max Planck Institute for Intelligent Systems and the Tübingen AI Cluster, and offers students opportunities to engage in cutting-edge research. The curriculum covers areas such as deep learning, probabilistic and statistical machine learning, mathematical foundations, and practical programming experience.
#145
#7
Public
Germany
Tübingen
Baden-Wurttemberg
No
2 years
4 Semester
Winter
120 ECTS
Full Time
General Requirement: Good command of English (proof required; e.g., TOEFL/IELTS accepted but no strict minimum listed on official page); German not required
IELTS/TOEFL: TOEFL/IELTS accepted; minimum levels not strictly listed
German Grade: N/A
2.3 German grade (or equivalent international GPA)
N/A
Not required
Bachelor's degree certificate; transcript of records; module handbook (mathematics and computer science courses); CV (max. 1 page); motivation letter (1-2 pages); proof of English proficiency.
Tuition Fee (Non-EU): 1500 per semester for non-EU; Free for EU/EEAper Semester
Tuition Fee (EU): Freeper Semester
Semester Contribution: Approx. 200 EUR per semester
🎓 Scholarship Available
Charged for non-EU only.
• Tuition for non-EU citizens: 1500 EUR/semester. EU/EEA citizens: no tuition fee, only semester contribution.
Winter: 30 April 2026 at UTC
Summer: N/A
Spring: N/A
Autumn: N/A
NextDate: 30 April 2026 at UTC
ApplicationEndDate: 30 April 2026 at UTC
ApplicationEndDateNonEU: 30 April 2026 at UTC
All requirements drawn from official University of Tubingen program/admission pages.
Assessment: N/A
Assessment2: N/A
Deadline: Wintersemester 2026/27: 30.04.2026
Deadline2: N/A
DeadlineLink: https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/studium/studierende/lehre-studienorganisation/studiengaenge/machine-learning/admission-and-application/
ApplicationDeadlineLinkSecondary: N/A