Overview
Key facts
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
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
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- Starting
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- Apply before , National
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- Starting
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deadlines for candidates who have to apply for a visa: By 28 February for the autumn semester By 30 September for the spring semester
Language
Credits
Delivered
Campus Location
- Fribourg, Switzerland
Disciplines
Information Technology (IT) Neuroscience View 8 other Masters in Neuroscience in SwitzerlandWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score 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.
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Tuition Fees
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International Applies to you
Applies to youNon-residents1740 CHF / year≈ 1740 CHF / year -
Domestic Applies to you
Applies to youCitizens or residents1440 CHF / year≈ 1440 CHF / year
Living costs
Fribourg
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Digital Neuroscience.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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