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Master of Science in Machine Learning
- Public University
Department of Computer Science
Talk to ExpertMaster of Science in Machine Learning at Uni Tübingen Overview
University of Tuebingen is a prominent institution among PG students looking to pursue a Master of Science in Machine Learning from abroad. The typical duration of the program is 2 years. It is among Germany’s top-ranked courses and is rated very highly by several prominent ranking platforms including Shiksha. Interested candidates must submit their admission applications as early as possible due to limited availability of seats.
The first year University of Tuebingen tuition fees for its Master of Science in Machine Learning is around EUR 3,000. Students are also advised to plan for some other costs they may incur over the duration of studies, including accommodation, groceries, insurance, utilities among others.
Duration | 2 years |
Tuition & Fees | ₹3.14 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
- Overview
- Fees
- Entry Requirements
- Application Process
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Master of Science in Machine Learning at Uni Tübingen Fees
International students are required to pay University of Tuebingen Master of Science in Machine Learning tuition fees as per the fee structure. The average first-year tuition fee for the course is EUR 3,000. The students are also required to manage living expenses while attending the University of Tuebingen.
The cost may vary based on the individual charges and type of living. The cost of attending the Master of Science in Machine Learning at University of Tuebingen is given below:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 3,14,100 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,15,170 |
| Mandatory Fees | INR 62,820 |
Calculated at the exchange rate of 1 Euro = INR 104.7 | Tuition & expenses were last updated on 16ᵗʰ April 2025Download exam sample paper
Master of Science in Machine Learning at Uni Tübingen Entry Requirements
- CGPA - 2.3/4
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- Applicants must have-
- Bachelor degree in subject related to machine learning i.e. computer science, mathematics, physics, and related fields with grade average of at least 2,30 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)
- Applicants must have-
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 94/120
-
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- Marks - 7/9
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Out of 10
Master of Science in Machine Learning at Uni Tübingen Application Process
- A CV-(1 page maximum)
- a letter of motivation (1-2 pages maximum)
- APS certificate
- English langauge proficiency proof
- Academic Transcripts
Master of Science in Machine Learning at Uni Tübingen Rankings
| Rank | Rank Publisher |
|---|---|
| #66 | |
| #76 | |
| #151 |
Master of Science in Machine Learning at Uni Tübingen Highlights
- The Master’s program in machine learning offers a wide choice of courses in computer science and, apart from a few mandatory courses, allows students to choose their subjects according to interest. Students will attend lectures, seminars, and project lab courses under the supervision of scientists who introduce them to basic and applied research and current topics in machine learning.
- The Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. Education in problem solving capabilities is a central training objective
- Students have the opportunity to advance their knowledge and skills to a level which will allow them to get involved in top national and international research in machine learning and its many applications in the sciences as well as in engineering and other fields.
- This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level.
Master of Science in Machine Learning at Uni Tübingen Scholarships
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Geschwister-Scholl-Platz, 72074 Tübingen, Germany
Tubingen ( Other - Germany)