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Courses include lectures on neural data analysis and models of neural coding and computation, physical and physiological bases of neural recordings and brain imaging, computational motor control and computational vision, rehabilitation robotics and brain computer interfaces, systems neuroscience and neurophysiology, basic mechanisms of learning and memory, mathematics, statistics, programming, machine learning for neuroscience, theoretical neuroscience and behaviour and cognition.
Educational organisationThe Master's course lasts four semesters. The first two semesters are devoted to theoretical and practical training (lectures, seminars, tutorials, journal clubs) with an examination period at the end. The third and fourth semesters are set aside for two ten-week lab rotations and the six-month Master's thesis.
Ideally, the Master's thesis will lead directly to PhD studies.
Study abroad unit(s)Not required
InternshipsTwo ten-week internships have to be completed in the third and fourth semesters.
Forms of assessmentCourses are generally concluded with written exams at the end of the semester. For some courses, problem sheets, oral exams or seminar presentations are required. Laboratory rotations are concluded with a written report and an oral presentation. A total of 65 credits will be earned with theoretical courses (lectures, seminars) while laboratory rotations and the Master's thesis earn 55 credits.
Course objectivesThe research-oriented Master's course provides state-of-the-art theoretical and practical training in basic and clinical neuroscience. Students who complete the Master's course successfully are ideally prepared to pursue a demanding doctoral project in one of the research groups in Tübingen.
Language requirementsApplicants must provide proof of their English skills.
Academic requirementsThis MSc programme is aimed at students with a first degree in physics, mathematics, computer science, bioinformatics, engineering or a related field who have a strong interest in biomedical and neural science and technical applications. Profound knowledge in maths (linear algebra, analysis), statistics, elementary probability theory, and programming skills in at least one language are compulsory.
Enrolment feesEnrolment fee: 142.10 EUR per semester (students' services organisation)
Costs of living
- Accommodation: 200-350 EUR per month
- Health insurance student's rate: approx. 90 EUR per month
- Matriculation fee: 142.10 EUR per semester
- Semester ticket for the local transport system: 72.90 EUR per semester
Job opportunitiesStudents may find jobs as junior research assistants in the research groups associated with the school.
Funding opportunities within the universityInternational students may receive a scholarship from the graduate school amounting to 600-700 EUR per month, depending on the student's performance.
Arrival supportStudents arriving at Stuttgart airport will be picked up and escorted to their accommodation.
Services and support for international studentsDuring their first days in Tübingen, students will be accompanied to public authorities, including the foreigners' office, bank, health insurance, the registrar's office at the university, etc. Furthermore, the school will provide an orientation course, introducing students to the university and the city of Tübingen, in addition to guidance by academic tutors.
AccommodationAccommodation is available in student halls of residence for 225-350 EUR per month. Off-campus accommodation is generally more expensive. Reservations for a room in the student halls of residence will be made by the graduate school on request.
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