Brain Networks and Neuronal Communication

Brain Networks and Neuronal Communication is a specialized master's program at Radboud University that offers students the opportunity to explore the complex mechanisms underlying brain function and neural interactions. This interdisciplinary program combines insights from neuroscience, psychology, and computational modeling to provide a comprehensive understanding of how brain networks facilitate cognition, perception, and behavior. Students will study the structure and dynamics of neuronal circuits, learn advanced techniques for analyzing brain activity, and develop skills to interpret experimental data in the context of neural connectivity. The curriculum includes courses on neuroanatomy, neurophysiology, neuroimaging methods, and mathematical modeling of neural systems. Practical training is emphasized through laboratory work, data analysis projects, and research seminars, enabling students to gain hands-on experience with cutting-edge technologies such as EEG, fMRI, and intracranial recordings. The program also encourages interdisciplinary collaboration, fostering a global perspective on neuroscience research and its applications. Graduates will be well-equipped for careers in academic research, neurotechnology development, clinical neuroscience, or related fields. They will acquire the expertise necessary to contribute to the understanding of brain disorders, develop new diagnostic tools, or design innovative interventions for neurological conditions. With a strong focus on both theoretical foundations and practical skills, the program prepares students to address some of the most challenging questions in contemporary neuroscience. Overall, Brain Networks and Neuronal Communication at Radboud University offers an enriching academic experience that blends scientific rigor with real-world applications, making it an ideal choice for those passionate about unlocking the secrets of the human brain.

The Master's programme in Brain Networks and Neuronal Communication at Radboud University offers a comprehensive and cutting-edge education in the fields of neuroscience, neurotechnology, and brain research. This programme is designed for students who are passionate about understanding the complex mechanisms behind brain function and neural communication. Throughout the course, students will explore the intricate networks within the brain that facilitate cognition, perception, and behavior, as well as the technological tools used to study these processes. The programme provides a thorough grounding in neurobiological principles, neuroimaging techniques, computational modeling, and data analysis methods. Students will learn about the structure and function of neurons, synaptic mechanisms, and the organization of neural circuits that underpin mental processes. Emphasis is placed on understanding how disruptions in brain networks can lead to neurological and psychiatric disorders, fostering a holistic view of brain health and disease. The curriculum combines theoretical coursework with practical lab sessions, enabling students to gain hands-on experience with state-of-the-art neuroimaging equipment, electrophysiological recording techniques, and computational modeling software. Collaborative projects and internships are integral parts of the programme, encouraging interdisciplinary teamwork and real-world application of knowledge. Graduates will be well-equipped for careers in academic research, healthcare, neurotechnology industry, or further doctoral studies. The programme’s location within Radboud University provides access to renowned research institutes and expertise in neuroscience, making it an ideal environment for aspiring neuroscientists. Overall, the programme aims to foster critical thinking, innovative research skills, and a deep understanding of how complex brain networks operate, ultimately contributing to the advancement of brain science and the development of novel diagnostic and therapeutic strategies.

A completed Bachelor's degree in Linguistics, Physics, Biology, Medicine, Mathematics, Behavioural Sciences, Artificial Intelligence or a related discipline

The graduation date of the last attained Bachelor’s degree relevant for this programme must be within five years of applying to the programme.

A proficiency in English

In order to take part in this programme, you need to have fluency in both written and spoken English. Non-native speakers of English* without a Dutch Bachelor's degree or VWO diploma need one of the following:

• A TOEFL score of >=600 (paper based) or >=100 (internet based)
• An IELTS score of >=7.0
• Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE) with a mark of C or higher

Specialisation specific requirements

For the specialisation in Brain Networks and Neuronal Communication, students with a background in artificial intelligence or natural sciences can apply. Specifically, we require demonstrable knowledge in the following domains:

1. Mathematics (e.g., calculus, linear algebra, vector analysis, fourier series and transforms, ordinary differential equations (e.g., Boas, M.L., 2006 ‘Mathematical methods in the physical sciences’)
2. Electromagnetism and calculus-based introductory physics (e.g., Boas, M.L., 2006 ‘Mathematical methods in the physical sciences’)
3. Neuroscience (e.g., Kandel, E. & Schwartz, J., 2013 ‘Principles of neural science’ or Purves, D., 2012 ‘Neuroscience’).
4. Artifcial intelligence (e.g., robotica, computational modelling) (e.g., Poole, D.I.R. & Mackworth, A.K.P., 2010 ‘Artificial Intelligence, foundations of computational agents’).

To give you an indication of the content and level of knowledge you need in each of these areas, we have suggested handbooks that meet the level we expect from our candidates. Please note: Students should have at least the level of knowledge indicated above with respect to areas 1, 2 and 3 OR 1, 2 and 4 when they start the programme.

* Applicants are considered to be a native speaker of English if they are from Australia, Canada (with exception of Quebec), Ireland, New Zealand, Singapore, UK, USA or South Africa.

There are various scholarships available for studying at Radboud University. Some of the opportunities are described below. A full list, including detailed information, can be found on our scholarships and grants page at our website. 

Radboud Scholarship Programme

Open to a select number of excellent international students. Instead of the institutional tuition fees, non-EEA students pay the legal tuition fees (€2,083 in 2019/2020). Visa and residence permit costs, liability insurance and health insurance are also covered.

Orange Tulip Scholarship

Open to students from Brazil, Mexico, Russia, Indonesia, South-Korea, Vietnam, Thailand, and China. Instead of the institutional tuition fees, non-EEA students pay the legal tuition fees (€2,083 in 2019/2020). Visa and residence permit costs, liability insurance and health insurance are also covered.

Fulbright-Radboud Scholarships

Open to excellent American students. The grant will be paid in 12 monthly instalments of 1,050 euros. International travel and the cost of the residence permit will be covered, and an extra allowance of €1150 will be paid on arrival.

Sino-Dutch Bilateral Exchange Scholarship

Open to excellent students from China. Consists of a contribution of € 16,113 towards the total costs of one year of study or research in the Netherlands.

DIKTI-Neso Scholarships

Aimed at lecturers at higher education institutions in Indonesia who wish to pursue a PhD or Master's at a university in the Netherlands. A DIKTI scholarship includes allowances for living expenses, insurance, travel costs, tuition fees and more.

Indonesian Education Scholarship (LPDP)

Open to excellent Indonesian students under the age of 35. Involves a full scholarship.

Holland Scholarship Programme

Open to excellent students from Canada, America, India and Turkey. Scholarship consists of 5,000 euros payed at the start of study.

Dutch Student Finance

EU/EEA students and Swiss students under 30 years of age are eligible if they are working at least 56 hours per month in the Netherlands, or have been living in the Netherlands for five years or more. Dutch student finance consists of four components: a basic grant, a supplementary grant (depending on the parental income), a student travel product, and a loan.

The MSc programme in Brain Networks and Neuronal Communication at Radboud University is an interdisciplinary master's degree that focuses on understanding how the brain's complex network of neurons gives rise to cognition, behavior, and mental health. This programme combines principles from neuroscience, neuroimaging, computational modeling, and data analysis to explore the underlying mechanisms of brain function. Students will learn about the structure and functioning of neural networks, the methods used to measure brain activity such as MRI, EEG, and MEG, and how to interpret and analyze large sets of neural data. The curriculum covers topics like neural signal processing, brain connectivity, neuroinformatics, and neurodegenerative diseases. It aims to equip students with both theoretical knowledge and practical skills, including programming, statistical analysis, and the use of specialized software for brain network analysis. The programme emphasizes a research-oriented approach, encouraging students to undertake independent research projects that contribute to scientific understanding of brain networks. Graduates of this programme will be prepared for careers in academia, medical research, neurotechnology, or neuroinformatics industries. They will possess a broad understanding of neuronal communication processes and gain expertise in cutting-edge neuroimaging techniques and data analysis tools. The university collaborates with medical centers and research institutes, providing students with opportunities for internships and practical training. The programme is suitable for students with a background in neuroscience, psychology, biology, or related fields, and aims to foster critical thinking, problem-solving, and innovative research skills suited for advancing knowledge in neuroscience.