Master’s degree · Dedicated AI or machine learning program
Machine Learning - Master
Machine Learning (Master)
Eberhard Karls Universität Tübingen · Tübingen, Baden-Württemberg, Germany
Currently offered, next intake unconfirmed
- Award
- Master
- Subject
- Machine learning
- Format
- On campus4 Semester
- Price
- Not published
About this program
Four-semester university Master in Machine Learning taught in English, with open (non-restricted) admission after an application check of entry requirements.
- School and department
- Eberhard Karls Universität TübingenMathematisch-Naturwissenschaftliche Fakultät
- Subject or specialization
- Machine learningRecorded only where the official program page names it as a focus, not for individual modules.
- Teaching language
- English
Qualification and recognition
- Qualification
- Master’s degree
- Exact award
- Master
- Credential type
- DegreeA degree awarded by a degree-granting institution.
- Academic credit
- Credit-bearing
- Awarding institution
- Eberhard Karls Universität Tübingen
- Access and price model
- Access terms not statedThe official page does not state the price model.
Structure and schedule
- Duration
- 4 Semester
- Delivery
- On campusTaught at the listed campus.
- Physical attendance
- Attendance requirement not verified
- Schedule
- Not published
- Teaching location
- Universität Tübingen
Admissions, prerequisites and intakes
- Programming
- Recommended
- Mathematics
- Recommended
- Prior degree
- Required
- Work experience
- Not stated
Page lists expected prior coursework of at least 27 ECTS in mathematics and 18 ECTS in computer science.
- Academic requirements
- Admission is not restricted; applicants must meet entry requirements, which are checked through an application.
- International applicants
- The provider states that international students may apply
Fees
Original currency is authoritative. Each fee keeps its basis (per term, per year, per credit, whole program) and the academic year it applies to and is never converted or added up for you.
Tuition is not published on the pages we checked. That does not mean the program is free: ask the institution for current fees, equipment costs and any deposit or refund terms.
Sources and verification
Not published on the program’s source pages: price, schedule, dated intake or deadline.
Sources and how this was checked
Last checked 1 November 2026. Each fact carries a verbatim quote that is re-checked against the live page. Research methodology.
Sources (checked 1 November 2026)