Are you a current student? For the programme of this academic year, check the course guide.
Curriculum of Neurophysics
The Master’s specialisation in Neurophysics has a course load of 120 EC (two years). The programme comprises of compulsory courses, supplemented by electives. You end the programme by writing a Master's thesis.
About this study curriculum
The course overview is an indication of the study programme of the academic year 2023-2024. Are you a current student, please consult the online course guide for your course overview.
Course overview
The list below illustrates the basic organisation of the Master's specialisation Neurophysics, which consists of the following elements:
- Compulsory courses (22 EC)
- Elective courses (24 EC)
- Free electives (14 EC)
- Master's thesis (60 EC)
The compulsory courses form the core of the specialisation. They consist of five Neurophysics courses, a Philosophy course and a Professional preparation course. They are supplemented by a set of specialisation electives, that you can choose from a list of selected courses. In addition, you’re also allowed to follow a few courses at any faculty or university you want. These ‘free electives’ give you the chance to specialise even further, or broaden your programme as you find fitting.
You can also choose to do the synergy track Computational and Data Science. You can find more information about this track at the bottom of this page.
- P1
- P1
- P1
- P2
- P3
- P4
- P1
- P2
- P3
- P4
Choose one Philosophy course:
Minimum 3 EC, maximum 6 EC- P1
- P2
- P3
- P2
- P2
- P3
- P3
- P4
- P3
- P4
- P3
- P4
- P3
- P4
- P3
- P4
- P4
- P1
- P2
- P3
- P4
You need to choose at least 24 EC worth of electives from this list. Part of your elective course programme can take the form of a synergy track in Computational and Data Science. You can find more information about this synergy track at the bottom of this page.
- P1
- P2
- P3
- P4
Free electives can be chosen from other master specialisations or programmes, not necessarily within Physics and Astronomy. You can also consider courses from the societal specialisations.
- P1
- P2
- P3
- P4
A large part of this specialisation consists of one or two research internships that can be performed at departments of the Donders Institute. It is also possible to do an internship at a company, for example, at the Brain, Body, and Behaviour Division of Philips, Eindhoven, or at other Universities in the Netherlands (e.g. at Maastricht University) or abroad. If you're interested in studying in Germany, it is possible to apply for a grant to perform an internship at the Max Planck Gesellschaft, one of the world's most renowned research institutes. The number of internships and their focus and length depend on your specific Master’s programme.
Specialisations
Data science and computational methods play an increasing important role in modern science as well as in industry and society. This is why we offer a synergy track Computational and Data Science (15 EC) in this Master's programme, where we use the synergy of different disciplines in the Faculty of Science that are engaged in computational modeling and data science.
About this study curriculum
This track intersects with the Master's specialisations in Particle and Astrophysics, Physics of Molecules and Materials, Neurophysics, Physical Chemistry and Mathematics.
The synergy track consists of a 9 EC core curriculum, that covers fundamental aspects of computing and data science.
- P1
- P2
- P3
Note: Depending on your specialisation, you can extend this programme based on your interests.