M.Sc. On Campus

Neural Information Processing

University of Tübingen

12 months
3000 EUR/year
Tuition fee
Apply date
Start date


The latest offshoot, the Graduate School of Neural Information Processing, started teaching in the winter term of 2011 at the University of Tübingen. This school covers theoretical and computational aspects of neuroscience, a field of research that has become increasingly important in the past years.


Why choose this programme?

We offer a master degree in Neural Information Processing at the University of Tübingen. Apart from the Centre for Integrative Neuroscience – CIN,  major partners of this graduate school are the Tübingen Bernstein Centre for Computational Neuroscience – BCCN and the newly established MPI for Intelligent Systems, which provide – in addition to financial support – scientists who make a considerable contribution to teaching and laboratory training.

The curricula of the three masters programs comprise some 55 different neuroscience courses, all taught in English and offered periodically every academic year. The courses range from broadly-based neuroscience topics to demanding, specialized courses, as well as two longer-lasting laboratory rotations and a final masters thesis.

The masters programs have an explicit ‘research orientation’ with the goal of optimally preparing graduate students for demanding doctoral projects. This goal is achieved by two means: first, by recruiting active researchers as instructors who incorporate state-of-the-art neuroscientific questions and methods in their courses and, secondly, by implementing extensive periods of laboratory training where students engage in current research projects. The same is true for the experimental masters thesis of 6 months, which often serves as ‘seed crystal’ for a subsequent doctoral dissertation.

Programme Structure

Teaching Program – Curricular Focus

  • neural data analysis and models of neural coding and computation,
  • computational motor control and computational vision,
  • rehabilitation robotics and brain-computer interfaces,
  • physical and physiological basis of neural recordings and brain imaging,
  • systems neuroscience and neurophysiology,
  • basic mechanisms of learning and memory,
  • mathematics, statistics and programming,
  • machine learning for neuroscience,
  • theoretical neuroscience,
  • behaviour and cognition.

Key information


  • Full-time
    • 12 months

Start dates & application deadlines






On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • This masters program aims 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 sciences and technical applications. 
  • Profound knowledge in maths (linear algebra, analysis), statistics, elementary probability theory, and programming skills in at least one language are compulsory and an asset for a successful accomplishment of the course.

Tuition Fee

To alway see correct tuition fees
  • International

    3000 EUR/year
    Tuition Fee
    Based on the tuition of 1500 EUR per semester during 12 months.
  • EU/EEA

    Tuition Fee
    Based on the tuition of 0 EUR per semester during 12 months.

Living costs for Tübingen

630 - 1000 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

Our partners

Neural Information Processing
University of Tübingen


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