Master
English
💻 Computer Science
Machine Learning (MSc)
Master
About the Program
The Master’s programme in Machine Learning offers a wide choice of courses in machine learning and general computer science. Apart from a few mandatory courses, allows students to choose their subjects according to their interests. 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. To pick up on scientific trends and make the best use of the current state of research, the curriculum relies heavily on the strong research presence on site in machine learning (Max Planck Institute for Intelligent Systems, Max Planck Institute for Biological Cybernetics, Excellence Cluster "Machine Learning: New Perspectives for Science'', Tübingen AI Center, ELLIS Institute, Cyber Valley, IMPRS for Intelligent Systems) as well as in the wider field of computer science. Top-level researchers in all major methodological branches of machine learning are present in Tübingen – personnel that will actively engage in teaching the Master’s programme in Machine Learning. (See CSRankings for the University of Tübingen and note that the Max Planck Institute for Intelligent Systems is located in Tübingen as well.) Since the field is obviously very young and currently developing extremely rapidly, training will naturally be based on the most recent insights and the most pressing research questions of these teaching researchers. Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. As interdisciplinarity is an important aspect, the Master’s thesis can be supervised by a professor of any subfield of computer science.
▶ Show the original English text
The Master’s programme in Machine Learning offers a wide choice of courses in machine learning and general computer science. Apart from a few mandatory courses, allows students to choose their subjects according to their interests. 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. To pick up on scientific trends and make the best use of the current state of research, the curriculum relies heavily on the strong research presence on site in machine learning (Max Planck Institute for Intelligent Systems, Max Planck Institute for Biological Cybernetics, Excellence Cluster "Machine Learning: New Perspectives for Science'', Tübingen AI Center, ELLIS Institute, Cyber Valley, IMPRS for Intelligent Systems) as well as in the wider field of computer science. Top-level researchers in all major methodological branches of machine learning are present in Tübingen – personnel that will actively engage in teaching the Master’s programme in Machine Learning. (See CSRankings for the University of Tübingen and note that the Max Planck Institute for Intelligent Systems is located in Tübingen as well.) Since the field is obviously very young and currently developing extremely rapidly, training will naturally be based on the most recent insights and the most pressing research questions of these teaching researchers. Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. As interdisciplinarity is an important aspect, the Master’s thesis can be supervised by a professor of any subfield of computer science.
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💡 How do I apply to Machine Learning (MSc) at Eberhard Karls Universität Tübingen?
Most international applicants apply via uni-assist (document verification + APS for some countries). Prepare your secondary/Bachelor diploma, transcripts, language certificate (DSH/TestDaF or IELTS/TOEFL), motivation letter and CV. Non-EU students also need a Sperrkonto (~11,904 EUR/year) for the visa.
- Check requirements — Verify your degree is recognised + meet language/grade thresholds.
- Get language certificate — TestDaF / DSH for German programmes, IELTS / TOEFL for English.
- Submit via uni-assist (non-EU) — Document review + APS if your country requires it (China, India, Pakistan, Vietnam, etc.).
- Apply directly or via uni portal — Some universities accept direct applications — check the official programme page.
- Open Sperrkonto + apply for visa — After admission, deposit 11,904 EUR, get health insurance, book embassy appointment.
❓ Frequently Asked Questions
Quick answers about Machine Learning (MSc) at Eberhard Karls Universität Tübingen
Is Machine Learning (MSc) at Eberhard Karls Universität Tübingen taught in German or English? ▼
This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.
How much does the Machine Learning (MSc) programme cost? ▼
No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.
What are the admission requirements for Machine Learning (MSc) at Eberhard Karls Universität Tübingen? ▼
Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).
When is the application deadline? ▼
Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.
Can I work in Germany while studying Machine Learning (MSc)? ▼
Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.
How do I apply to Eberhard Karls Universität Tübingen — directly or via uni-assist? ▼
Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.