M.Sc. Machine Learning

University of Tubingen Tübingen

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  • Up to 1,500 EUR/sem
    Tuition
  • Winter intake
    Intake
  • English
    Language
  • 4 semesters
    Duration
  • 15 May
    Next deadline

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About the programme

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

Physics(Natural Sciences)
Computer Science(Computer Science & IT)

How to apply

ChannelDirect to university
Modeonline
APSRequired for Application

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

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Requirements

What you need to apply for Machine Learning at University of Tubingen

English language

IELTS Overall
6.5/ 9.0
View English requirements details

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/... (opens in a new tab)

German language

Maximum German grade(lower is better)
2.3

Academic requirements

Completed Bachelor's degree
no
Minimum ECTS credits
180

ECTS are study credits. One year of full-time study is about 60 ECTS.

0
View academic requirements details

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... (opens in a new tab)

APS verification

APS certificate
Required for Application

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

Prerequisites

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

  • TOEFL ibt: at least 79 points or
  • IELTS: at least 6.5 (overall) or
  • Cambridge: CAE, CPE or BEC Higher or
  • German Abitur with at least 6 (G8) or 7 (G9) years of English lessons or
  • Recognised university degree (e.g. Bachelor's degree) taught entirely in English (English as the language of instruction), or
  • Transcript of Records, which proves that at least 30 ECTS credits have been earned in English-language modules.

Please note that for the latter two options, proof of the language of instruction is required, unless this is clearly stated in the transcript!

Documents checklist

What to prepare for your application to Machine Learning

Programme-specific documents

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).

This programme applies directly to the university. Submit your documents through the correct channel before the deadline.

Open application portal (opens in a new tab)

Apostille 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.

Need help preparing your documents?

Our document preparation bundle covers SOP, CV, LOR, and translation coordination, reviewed by our team.

View document bundle

How to apply

Step-by-step guide to applying for Machine Learning at University of Tubingen

Application procedure

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).

Selection process

No information found

Application quick facts

Apply via

Direct to university

Mode

online

APS

Required for Application

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

Application fee

0 EUR

Address

Universität Tübingen / Studierendensekretariat

Wilhelmstraße 11

72074 Tübingen

GERMANY

Open application portal (opens in a new tab)

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Costs

Tuition

Up to 1,500 EUR

per semester

Semester contribution

160 EUR

per semester

Application fee

0 EUR

per application

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

Plan your total budget for Germany

Use the MS in Germany cost calculator to estimate living expenses, insurance, and your full year-one spend.

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Admission outcomes

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.

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