Graduate School of Neural Information Processing and IMPRS

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 organisation

The 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

Internships

Two ten-week internships have to be completed in the third and fourth semesters.

Forms of assessment

Courses 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 objectives

The 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 requirements

Applicants must provide proof of their English skills.

Academic requirements

This 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.

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Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

Enrolment fees

Enrolment 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 opportunities

Students may find jobs as junior research assistants in the research groups associated with the school.

Funding opportunities within the university

International students may receive a scholarship from the graduate school amounting to 600-700 EUR per month, depending on the student's performance.

Arrival support

Students arriving at Stuttgart airport will be picked up and escorted to their accommodation.

Services and support for international students

During 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.

Accommodation

Accommodation 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.