Computation in Neural and Artificial Systems

Computation in Neural and Artificial Systems at Radboud University is an innovative Master's programme designed to explore the fundamental principles and cutting-edge techniques behind artificial intelligence, machine learning, and neural computation. This interdisciplinary programme focuses on understanding how complex neural and artificial systems process information, learn, and adapt in dynamic environments. Students will delve into computational models inspired by biological neural networks, as well as develop and apply artificial intelligence algorithms for real-world problems across various domains such as robotics, cognitive science, data analysis, and more.

Throughout the programme, students acquire a solid foundation in computational neuroscience, machine learning, data science, and programming. The curriculum emphasizes both theoretical understanding and practical skills, with opportunities for hands-on projects, laboratory work, and collaborations with researchers and industry partners. Students explore topics including neural network architectures, deep learning algorithms, neural coding, cognitive modeling, and the simulation of neural systems.

The Master's programme aims to prepare graduates for diverse careers in academia, research institutes, technology companies, and startups specializing in AI and neural computation. It also offers a pathway for those interested in further PhD research or careers in scientific investigation, technological development, and applied data science. The programme is characterized by its multidisciplinary approach, combining insights from neuroscience, computer science, psychology, and artificial intelligence to foster innovation and deepen understanding of both natural and artificial intelligent systems.

Classroom learning is complemented by modern laboratory facilities and computational resources, enabling students to experiment with neural models and develop intelligent systems. The program promotes a collaborative learning environment, encouraging teamwork, critical thinking, and creative problem-solving. Graduates of this track will be equipped with the knowledge and skills necessary to contribute to advances in neural and artificial systems, pushing the boundaries of digital intelligence and understanding the workings of minds—biological and artificial alike.

The Master's degree programme in Computation in Neural and Artificial Systems at Radboud University offers an interdisciplinary curriculum that combines principles from artificial intelligence, computational neuroscience, machine learning, and cognitive science. This innovative programme aims to equip students with a comprehensive understanding of how complex neural and artificial systems can be modeled, analyzed, and utilized to mimic and understand intelligent behavior. Students will explore the mechanisms of information processing in biological brains and develop computational models that replicate these processes in artificial systems. The programme emphasizes both theoretical foundations and practical applications, enabling students to design, simulate, and analyze neural networks and other computational models.

Throughout the programme, students will engage with courses covering topics such as neural computation, cognitive modeling, deep learning, data analysis, and programming skills essential for research and development in AI. They will also have the opportunity to participate in cutting-edge research projects, collaborate with faculty from diverse disciplines, and develop skills in critical thinking, problem-solving, and scientific communication. The curriculum is designed to foster innovation in areas like robotics, autonomous systems, brain-computer interfaces, and intelligent data analysis.

Radboud University's programme uniquely combines insights from biological sciences and computer science, preparing graduates for careers in academia, industry, or research institutions. The programme also emphasizes ethical considerations in AI development and application, ensuring students are aware of societal impacts and responsible innovation. By completing this Master's degree, students will be well-equipped to contribute to advancements in intelligent systems, advancing both scientific understanding and practical technology solutions in a rapidly evolving field.

A completed Bachelor's degree

Students must have a completed Bachelor's degree from an academic university (this does not include a Bachelor’s from a University of Applied Science, in Dutch HBO) in Artificial Intelligence or a related programme with a comparable content that sufficiently prepares for an advanced master program in AI. An acceptable applicant should have some knowledge of Computer Science (in particular sufficient programming experience and software development experience, about 15-24 EC), Artificial Intelligence techniques (search/planning/representation algorithms, machine learning, reasoning under uncertainty, neural networks, logics, and robotics, about 36-42 EC), Mathematics (calculus, linear algebra, statistics, about 15-18 EC), and some Cognitive Science (e.g. cognitive psychology or cognitive neuroscience).

Proficiency in English

In order to take part in this programme, you need to demonstrate fluency in both written and spoken English. Students with a Dutch VWO diploma or an English Bachelor are considered sufficiently proficient in English. Other non-native speakers of English* must obtain one of the following certificates:

• A TOEFL score of ≥575 (paper based) or ≥90 (internet based)
• An IELTS score of ≥6.5
• Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE) with a mark of C or higher

Motivation Letter

Please describe your future plans and what you would like to learn and research at Radboud University. What are the topics of the research you would like to do? This will allow us to find out if your previous education is appropriate. It is not sufficient to say that you 'want to do something in Medical Biology'. Please be more specific, for example: cancer research, genomics, malaria or tissue engineering and explain how your previous education prepared you for this specific Master's programme. Last but not least, motivate your interest in studying at Radboud University (specific disciplines, facilities or other considerations).

* 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 (€2,060 in 2018/2019). 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 (€2,060 in 2018/2019). 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 Master's program in Computation in Neural and Artificial Systems at Radboud University is an interdisciplinary program that focuses on understanding, modeling, and designing intelligent systems inspired by neural and artificial processes. This program aims to equip students with a solid foundation in computational neuroscience, artificial intelligence, machine learning, and cognitive science. Students explore how biological neural systems function and how these principles can be applied to develop advanced artificial systems. The curriculum combines theoretical knowledge with practical skills, enabling graduates to contribute to developments in AI, robotics, neurotechnology, and related fields.

The program typically covers topics such as neural network modeling, cognitive modeling, data analysis, programming, and algorithms. Students have opportunities to engage in research projects, often collaborating with experts from both the university and partner institutions. The program encourages innovation and critical thinking, preparing students for careers in academia, industry, or entrepreneurship. Radboud University emphasizes a close connection between theory and application, providing students with hands-on experience through lab work, internships, and project-based assignments. Graduates of this program are well-positioned to pursue PhD research or to take on roles in technological companies that develop AI and neural technologies.

The program's international orientation means that students from diverse backgrounds are welcome, fostering a multicultural learning environment. The language of instruction is primarily English, ensuring accessibility for international students. Radboud University provides excellent facilities, research groups, and collaboration opportunities to support student development. Overall, this Master's program offers a comprehensive education at the intersection of neuroscience, computer science, and artificial intelligence, aimed at solving complex scientific and technological problems involving neural and artificial systems.