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4 semesters
English
Under 1,500 EUR/sem
Winter
The University of Tubingen is a prestigious institution located in Germany, known for its strong academic programs and research opportunities. The Machine Learning course offered at the university is highly regarded and attracts students from all over the world. The course curriculum covers a wide range of topics, including supervised and unsupervised learning, deep learning, and reinforcement learning. Students have the opportunity to work on real-world projects and gain hands-on experience in the field. The faculty members are experts in the field of machine learning and provide valuable insights and guidance to the students.
Fields of study
How to apply
What you need to apply for Machine Learning at University of Tubingen
German Abitur including at least 6 (G8) or 7 (G9) years of English.
TOEFL iBT test with at least 94 points (due to the pandemic we allow the TOEFL iBT Home version too)
IELTS test with at least 7.0
Cambridge Certificate in Advanced English (CAE)
University entrance qualification obtained in the UK, Ireland, USA, Canada, Australia or New Zealand
https://uni-tuebingen.de/en/faculties/faculty-of-science/...
What to prepare for your application to Machine Learning
1. ToR (Transcription of Registration) and certificate
2. Speaking and comprehension skills in the English language (see under Admission Requirements)
3. A motivation letter (max. 2 pages)
4. In addition, on the ALMA admission and registration portal you will find the form “Check List of Prior Knowledge for the Master Program Machine Learning” (not yet online) with a number of questions you have to answer. Here is the list of the questions, so you can prepare your answers in advance:
(a) In your bachelor courses in mathematics, did you have to perform proofs yourself in exercises? If so, specify up to two brief example statements you had to prove.
(b) Did you have multivariate calculus in your bachelor programme? If yes, provide a list of keywords of subjects you have done in multivariate calculus.
(c) Provide a list of keywords of the content of your linear algebra class(es).
(d) Provide a list of keywords of the concepts you know in stochastics and/or numerics if available.
(E) What programming languages do you know? Rate your level of experience in each of them. If you had software project(s), provide the titles of the project(s).
(f) Provide a list of keywords of the concepts you had in your algorithms and data structures course(s) (if available).
Step-by-step guide to applying for Machine Learning at University of Tubingen
Registration ML for winter term 2019/2020
(application period time 4th March to 30th April 2019)
This is what you will need for your registration:
ToR (Transcription of Registration) and certificate
Speaking and comprehension skills in the English language (see under Admission Requirements)
A motivation letter (max. 1 page)
In addition, on the ALMA admission and registration portal you will find the form “Check List of Prior Knowledge for the Master Program Machine Learning” (not yet online) with a number of questions you have to answer. Here is the list of the questions, so you can prepare your answers in advance:
In your bachelor courses in mathematics, did you have to perform proofs yourself in exercises? If so, specify up to two brief example statements you had to prove.
Did you have multivariate calculus in your bachelor programme? If yes, provide a list of keywords of subjects you have done in multivariate calculus.
Provide a list of keywords of the content of your linear algebra class(es).
Provide a list of keywords of the concepts you know in stochastics and/or numerics if available.
What programming languages do you know? Rate your level of experience in each of them. If you had software project(s), provide the titles of the project(s).
Provide a list of keywords of the concepts you had in your algorithms and data structures course(s) (if available).
Tuition
< 1,500 EUR
per semester
Semester contribution
160 EUR
per semester
Application fee
0 EUR
one-time
Community-reported data from MS in Germany students (2018-2025)
Acceptance rate
0%
0 accepted out of 4 total applications
Grade benchmarksGerman scale (1.0 = best, 4.0 = passing)
1.69
Avg. rejected grade
German scale
Based on 4 applications from MS in Germany students 2018-2025.
Other Computer Science programmes ordered by QS ranking
Bachelor degree in subject related to machine learning i.e. computer science, mathematics, physics, and related fields with grade average of at least 2,3 (german system: 1,0 is best)
mathematical skills on the level of the bachelor of computer science in Tübingen in one- and multi-dimensional calculus, linear algebra, and either numerical mathematics or probability theory
skills in programming and in algorithms and data structures (theoretical analyis of algorithms)
https://uni-tuebingen.de/en/study/application-and-enrollm...
Bachelor degree in subject related to machine learning i.e. computer science, mathematics, physics, and related fields with grade average of at least 2,3 according to the German grading system (German system: 1,0 is the best grade)
mathematical skills in scope and on the level of the bachelor of computer science in Tübingen in one- and multi-dimensional calculus, linear algebra, and either numerical mathematics or probability theory (33 CP out of 180 CP in the bachelor).
Candidates need to have at least mathematics courses equivalent to 27 CP. Between 27 CP and 33 CP the level and content of the mathematics courses matter so please provide the corresponding descriptions of your math courses in you module handbook in your application (and only the corresponding pages not the full module book!).
skills in programming and in algorithms and data structures (theoretical analyis of algorithms)
Proof of English language proficiency
Please note that for the latter two options, proof of the language of instruction is required, unless this is clearly stated in the transcript!
This programme applies directly or via uni-assist. Submit your documents through the correct channel before the deadline.
Open application portalApostille and notarization
Requirements vary by nationality and issuing country. Many German universities require certified translations and, in some cases, document apostilles. Verify current requirements directly with the admissions office, or use our document services for guided preparation.
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Apply via
direct
Mode
online
Application fee
0 EUR
Estimated time
Varies by programme
Complexity
Varies
Address
Universität Tübingen / Studierendensekretariat
Wilhelmstraße 11
72074 Tübingen
GERMANY
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Estimated year-1 total cost
12,224 – 15,222 EUR
Includes tuition, semester contribution, and estimated living costs. Range accounts for lifestyle differences.
Additional fee information
Approx. 1,500 EUR per semester for students from non-EU countries
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