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Graduate School of Neural Information Processing  International Max Planck Research School logo
University of Tübingen logo

Graduate School of Neural Information Processing International Max Planck Research School

University of Tübingen
Information last verified July 2026
Degree MSc
Duration 24 months
Deadline Jan, 2027
Delivery On-campus
Location Tübingen, Germany
Language English

Program Overview

The Graduate School of Neural Information Processing International Max Planck Research School at University of Tübingen is a MSc programme in Computer Science & IT over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.

Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of computer science & it. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.

Graduates of the Graduate School of Neural Information Processing International Max Planck Research School programme are well-prepared for careers in academia, industry, government, and the private sector across Germany and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Duration: 24 months
  2. Language of instruction: English
  3. Study mode: On-campus
  4. English requirement: IELTS 6
  5. Location: Tübingen, Germany

Career Opportunities

Graduates of the Graduate School of Neural Information Processing International Max Planck Research School programme are prepared for diverse careers in computer science & it:

  1. Software Engineer / Developer
  2. Data Scientist
  3. Machine Learning Engineer
  4. IT Project Manager
  5. Cybersecurity Analyst
  6. Cloud Solutions Architect

Program Curriculum

Course Structure

  1. neural data analysis and models of neural coding and computation
  2. physical and physiological basis of neural recordings and brain imaging
  3. computational motor control and computational vision
  4. rehabilitation robotics and brain computer interfaces
  5. systems neuroscience and neurophysiology
  6. basic mechanisms of learning and memory
  7. mathematics, statistics and programming
  8. machine learning for neuroscience
  9. theoretical neuroscience
  10. behaviour and cognition

Admission Requirements

Academic Requirements

This combined master’s and doctoral 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.

English Proficiency: IELTS 6 or equivalent.

Tuition & Financial Information

Detailed tuition information is not available. Please contact the university for the most current tuition and fee information.

Application Deadline

Jan, 2027