Artificial Intelligence

The Master's in Artificial Intelligence at Radboud University offers a comprehensive and innovative curriculum that prepares students to become future leaders in the rapidly evolving field of AI. This programme combines theoretical foundations with practical applications, emphasizing the development of advanced skills in machine learning, natural language processing, computer vision, robotics, and ethical considerations related to AI deployment. Students engage in rigorous coursework that covers core topics such as data analysis, algorithm design, and deep learning, alongside specialization options to tailor their education to specific interests within the AI domain. The programme is delivered by renowned faculty members who are actively involved in cutting-edge research, providing students with access to the latest developments and innovations in artificial intelligence. Throughout the two-year programme, students participate in numerous hands-on projects, lab activities, and collaborations with industry partners, fostering real-world experience and preparing them for careers in academia, research institutions, or the tech industry. The curriculum also emphasizes the social and ethical implications of AI technologies, encouraging students to critically evaluate the impact of AI solutions on society and to develop responsible AI practices. Radboud University's collaborative and interdisciplinary approach ensures that students are equipped with not only technical expertise but also with problem-solving, communication, and teamwork skills vital for success in AI careers. Upon graduation, students will be well-positioned to contribute to the development of intelligent systems and to shape the future of technology with ethical awareness and innovative thinking. The Master's in Artificial Intelligence at Radboud University represents an ideal choice for motivated individuals seeking to advance their knowledge and expertise in a field that is transforming the world.

Year one: In the first year of the programme you will develop your basic AI skills. You will be introduced to the most important subjects, which will provide you with a good overview of the programme and the field of artificial intelligence. You will also master a study attitude in which you take initiative and think logically, with a focus on creativity.
As this AI programme is a combination of exact sciences and courses from the human sciences, you will follow courses in computer science, mathematics, robotics, psychology and logic. Furthermore, you will learn skills and techniques to do research, including statistics and how to design an experiment. Mimicking the brain plays an important role in this programme; you’ll be heavily involved in modelling human thought processes in the computer, as well as with making computer programs smarter, and thus more user-friendly.

Year two and three: After building a strong foundation in the first year, the rest of the Bachelor’s programme will be spent on expanding the depth and breadth of your knowledge of the field. You will increasingly develop your own emphasis through three electives and an original research project for your Bachelor’s thesis. After finishing your first year, you’ll continue to explore the brain and the computer in greater depth.
You will deepen your knowledge and skills in programming, mathematics, statistics and modelling. For example, you will be introduced to neural networks: models of cognitive functions such as memory, observation, learning and language. This exploration of the brain and technology will raise many questions on ethics and views of humanity. These questions will be addressed in the subject Theoretical Cognitive Science: Foundations and Implications.
Although true specialisation does not begin until you start your Master’s programme, you will be able to study your topic of interest in greater depth whilst still doing your Bachelor’s. In your third year you will take electives, which may include subjects at other faculties or universities. For your final Bachelor’s thesis, you will develop and conduct your own research project, giving you plenty of opportunity to add your own emphasis.

Language requirements
You should have sufficient proficiency in the English language in order to be admissible. No proficiency in the Dutch language is required. Should you have obtained a high school diploma from a European country in which you have taken English in the final examinations, then in some cases you do not have to provide a separate language certificate. You will find a list of these diplomas on the specific programme web pages. Proficiency in the English language can be proven by meeting one of the following conditions:
• You have a diploma from the list of European diplomas, as mentioned above.
• You have a Dutch VWO diploma.
• You have a German ‘Zeugnis der Allgemeinen Hochschulreife’ with English as ‘Grundkurs’ or ‘Leistungskurs’ in the ‘Abitur’.
• You have an International Baccalaureate.
• You have a European Baccalaureate with English Language 2 or 1.
• You have obtained a diploma equivalent to or higher than the Dutch VWO level from an institution where the language of instruction is English in one of the member states of the EU/EEA, Australia, Canada, New Zealand, or the USA.
• You are a citizen of Australia, Canada (with exception of Quebec), Ireland, New Zealand, the UK, or the USA. Should you not meet one of the conditions mentioned above, then, in general, you should provide one of the following language certificates. Some programmes may have further language requirements, so please check the web page of the programme you’re interested in carefully. 
• IELTS Academic: A minimum overall score of 6.0, apart from Chemistry and Molecular Life Science, which require an minimum overall score of 6.5. Please check programme specific web pages for information on minimum sub-scores.
• TOEFL iBT: A minumum overall score of 80, apart from Chemistry and Molecular Life Sciences, which require a minimum score of 90. Please check programme specific web pages for information on minimum sub-scores.
• Cambridge Certificate of Advanced English (CAE): minimum mark of C.
• Cambridge Certificate of Proficiency in English (CPE): minimum mark of C.

Governmental student finance: EU/EEA students might qualify for a student loan from the Dutch government. To be entitled to this loan, you need to work for fourteen hours a week (56 hours a month) in the Netherlands (next to your studies). If you are entitled to receive the student loan from the Dutch government, you may receive up to € 1,000 per month, in addition to your salary. After graduation, you will need to pay back the loan. In order to determine how much you need to pay back each month, the Dutch government will take your financial situation (such as income) into account. More information is available on www.duo.nl

The Master's programme in Artificial Intelligence at Radboud University is designed to provide students with a comprehensive understanding of the core principles and advanced techniques in artificial intelligence. The programme combines theoretical foundations with practical applications, preparing graduates to contribute effectively to the rapidly evolving field. Students will explore a wide range of topics including machine learning, natural language processing, computer vision, robotics, and cognitive systems. The curriculum emphasizes both the technical and ethical dimensions of AI, encouraging students to consider societal implications and responsible development of intelligent systems.

Throughout the programme, students engage in hands-on projects, labs, and research activities that foster critical thinking, problem-solving skills, and innovation. The programme also offers specialization options, allowing students to tailor their studies to areas such as autonomous systems, data analysis, or intelligent user interfaces. Radboud University collaborates with industry partners and research institutions, providing students with opportunities for internships and collaborative projects that enhance employability and practical experience.

The faculty members are experts in their respective areas of AI, and the programme benefits from the university’s strong focus on interdisciplinary research. Students are encouraged to participate in seminars, conferences, and workshops to stay updated on the latest developments in artificial intelligence. Admission requirements typically include a relevant undergraduate degree, strong mathematical and programming skills, and motivation for advanced AI studies.

Graduates of this programme are well-equipped to pursue careers in various sectors including technology, healthcare, finance, automotive, and academia. They may work as AI engineers, data scientists, research scientists, or in roles that require expertise in intelligent systems and machine learning techniques. The programme aims to develop not only technical proficiency but also interdisciplinary collaboration, communication skills, and ethical awareness crucial for responsible AI development and deployment.