Artificial Intelligence

Unleash the power of intelligent machines with Radboud University’s BSc in Artificial Intelligence (AI). This three-year, full-time program equips you with the technical expertise and cognitive science foundation to become a future-focused AI specialist.

Build a Strong Foundation: Gain a comprehensive understanding of core AI principles, including machine learning, computer science, mathematics, logic, and statistics. Explore the ethical considerations and societal implications of AI development.

Cognitive Science Approach: Radboud University’s unique program delves into the human brain and cognitive processes to inform your understanding of how to create intelligent machines. This approach fosters the development of AI that interacts more naturally with the human world.

Master Cutting-Edge Technologies: Learn to develop and implement various AI techniques, including deep learning, natural language processing, computer vision, and robotics. Gain proficiency in industry-standard programming languages and software tools used in AI development.

Project-Based Learning: Develop your practical skills and problem-solving abilities through engaging AI projects. Work on real-world challenges, collaborating with professors and researchers to contribute to ongoing AI research endeavors.

Interdisciplinary Collaboration: Benefit from Radboud University’s collaborative learning environment. Interact with students from various disciplines, fostering a holistic understanding of AI’s potential applications across different fields.

Develop Valuable Skills: Hone your critical thinking, problem-solving, analytical, and research skills. Learn to approach challenges creatively, adapt to evolving technologies, and effectively communicate complex AI concepts.

Graduates emerge as versatile AI specialists prepared for diverse careers in various fields, including:

• AI research and development
• Machine learning engineering
• Data science
• Robotics engineering
• Software development with a focus on AI
• AI applications in various industries (e.g., healthcare, finance, manufacturing)
• Further studies in AI, computer science, or related fields (e.g., robotics, cognitive science)