Master in Artificial Intelligence: Intelligent Technology

Radboud University, located in Nijmegen in the Netherlands and founded in 1923, combines a clear social mission with strong academic credentials. Rooted in a tradition of community commitment, the university emphasizes mutual care, inclusion of cultural minorities, and research that engages with real societal challenges. Its green campus and collegial atmosphere help international students feel welcome while they pursue rigorous study in a supportive setting.

Academically, Radboud is research-led and internationally recognized, with many units ranked among the world’s best. The university hosts numerous research institutes and offers 77 programmes across disciplines, enabling interdisciplinary study and the flexibility to tailor learning paths. With around 24,633 students, of whom roughly 3,273 come from abroad, students benefit from small-group teaching, close faculty interaction, and opportunities to join research projects and supervised practical work.

Student life in Nijmegen blends active campus engagement with rich cultural offerings in one of the Netherlands’ oldest cities. Career services, internships, and strong links to industry and public organisations support graduate employability, while international offices provide practical guidance on housing, visas, and integration. For students seeking a values-driven institution that pairs high-quality research and teaching with a personal learning environment, Radboud offers a compelling balance of academic excellence and community-minded living.

The Master in Artificial Intelligence: Intelligent Technology is a 2-year program at Radboud University, focusing on human-centered technology for a responsible future. It's taught in English and covers state-of-the-art AI techniques, from machine learning to human-machine interfaces.

The curriculum includes compulsory courses like Advanced Academic & Professional Skills, Ethics for AI, and AI in the Professional Workfield. You'll also choose from specialisation courses and electives, and complete a Research Project and Internship to put your skills into practice.

After graduating, you can pursue careers like AI Developer, Machine Learning Engineer, Robotics Engineer, Human-Computer Interaction Designer, or AI Researcher, working in tech companies, research institutions, or healthcare organizations.