24 months
2018 EUR/year
1710 EUR/year
Tuition fee
Apply date
Start date


The specialised master programme in Digital Neuroscience from University of Fribourg provides unique opportunities for an intense learning experience in the area of neuroscience and digitisation. 


About the programme

Digital Neuroscience program from University of Fribourg emphasises learning about applied neuroscience topics and the acquisition of programming skills that will enable students to develop intelligent solutions in their future employment and/or develop a research career in digital neuroscience.

The offered classes fall broadly into three partially overlapping domains, namely computing, ergonomics and neuroscience. Courses start in the autumn semester with mandatory classes on Python programming on one hand and the fundamentals of neuroscience on the other hand, to bring students up to speed with the essential topics in these domains, which provide the foundation for successfully participating in the more advanced courses. During the 2nd semester in spring, students will acquire critical skills in basic machine learning and will advance their neuroscience education towards current topics in digital neuroscience. During the next autumn semester, students will participate in courses offered by the Department of Informatics on advanced machine learning. And in the following spring semester they will take a class in app development. During the 2nd semester of their studies, students will start on their master thesis project and will continuously attend a master colloquium on digital neuroscience. In addition to these compulsory courses, most of them dedicated towards digital neuroscience, students will have the opportunity to select additional optional courses from a wide variety of existing classes in order to advance their academic and professional profile in the areas of Neuroscience, Computing and Digitalisation as well as man-machine interactions.

We expect an already high and increasing demand of students of Digital Neuroscience in companies and start-ups related to digital mental and physical health applications and related fields, including man-machine applications. The master's degree also provides a solid foundation for doctoral studies, where students can capitalise upon the acquired knowledge and skills. A doctorate can then provide potential access to academic and management leadership positions within Switzerland or abroad.

Programme Structure

Courses include:

  • Deep Learning in Life Science
  • RNA-Sequencing
  • Classical models in biology
  • System Biology
  • Stochastic models in bioinformatics

Key information


  • Full-time
    • 24 months

Start dates & application deadlines




120 ECTS


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

  • The admission to the master follows the conditions of admission of the University of Fribourg. Holders of a bachelor's degree in Life Sciences, Psychology, Informatics, Physics, Economics, Engineering, or a related subject area, awarded from a Swiss University can be admitted to the master's degree course.
  • The same applies to holders of a bachelor's degree awarded by a foreign university, provided that the bachelor's degree is recognised and considered equivalent by the University of Fribourg. Fo details, please, refer to the study plan.

Tuition Fee

To alway see correct tuition fees
  • International

    2018 EUR/year
    Tuition Fee
    Based on the tuition of 1009 EUR per semester during 24 months.
  • National

    1710 EUR/year
    Tuition Fee
    Based on the tuition of 855 EUR per semester during 24 months.

National students: CHF 835 International students: CHF 985

Living costs for Fribourg

1330 - 1960 CHF /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.

Our partners

Digital Neuroscience
University of Fribourg


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