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  1. The University of Tübingen is ranked 182nd in the Best Global Universities by U.S. News, 213th in the QS World University Rankings, and 95th in the World University Rankings by Times Higher Education.

  2. Population-Based Medicine at the University of Tübingen is a full-time Master's Program which is completely taught in English. It offers a challenging program at a competitive international level for which high individual effort and performance are required. We strive to prepare students to respond to both challenges and opportunities to ...

  3. Help with your decision to study in Tübingen: To help you decide whether Tübingen is right for you, here are some contact points and information on studying in Germany: University of Tübingen. University of Tübingen’s international profile ; Contact: University office for the Advising and Admission of International Students

  4. Institute of Organic Chemistry University of Tübingen Auf der Morgenstelle 18 D-72076 Tübingen Germany Tel.: +49-7071-29-78763 Fax: +49-7071-29-5244

  5. It maintains close collaborations with major business enterprises and research institutes (e.g. three Max Planck Institutes in Tübingen) on a national and international level. It is characterized by interdisciplinary cooperation with medicine, biology, psychology, media science and many other departments at the University of Tübingen.

  6. Semester fees. Every semester, each student pays a fee for services provided by the Studentenwerk Tübingen-Hohenheim. There is also an administration fee and a fee for membership of the student union (Verfasste Studierendenschaft). Semester fees. Students are entitled to a discount on the Semester ticket for the local public transport ...

  7. The University of Tübingen is one of 12 German universities of excellence with a world-leading machine learning cluster. We cooperate with this cluster and offer you a world-class education not only in economics, but also in data science. Cluster of Excellence: Machine Learning for Science; E466 Causal Inference ; E463 Causal Machine Learning