Cognitive Science and Artificial Intelligence

Gain a deep understanding of human cognition and artificial intelligence to research and develop innovative solutions and applications. This 2-year Master's program combines knowledge of cognitive science and artificial intelligence with techniques such as advanced deep learning, deep reinforcement learning and Bayesian modeling. You will investigate various aspects of intelligence, such as reasoning, learning, perception, communication and collaboration from both a human perspective and a machine perspective.

Investigate various aspects of intelligence, such as reasoning, learning, perception, communication and collaboration from both the human perspective and the machine perspective.

Program and courses

• You will study artificial intelligence in relation to human cognition rather than from a purely engineering perspective. This program prepares you not just to contribute to the development of technological applications, but also to reflect on your implementation from the cognitive, neuro-scientific, and ethical perspectives.
• Experts in the domains of artificial intelligence, cognitive science and data science will teach you the necessary technical skills to create and test models of intelligent behavior.
• Within the domain of AI we focus mainly on the domains of computational cognition, hybrid intelligence and human-AI interfacing.
• Core principle of the program is learning by doing: part of the lectures take place in the lab facilities of Mindlabs, a set of labs for research related to: robotics and avatars, serious games, natural language and data technologies, and virtual and mixed reality. From the start of your studies you are encouraged to contribute to faculty’s research as a research assistant.

Typical courses are:

• Core topics in Artificial Intelligence
• Deep Reinforcement Learning
• Advanced Deep Learning
• Core topics in Cognitive Science
• Complex Systems
• Brain Computer Interfacing