The Robotics and Autonomous Systems major provides a competitive skillset and profound knowledge in the highly relevant field of Internet of Things (IoT) based smart and autonomous embedded systems, with the main application areas in mobile robotic systems and smart environments.

This program aims at providing graduates with sound engineering skills to design, to develop, to implement and to manage automation systems for manufacturing plants, industrial processes, mechatronic devices, distribution networks and environmental systems.

The MSc in Computational Cognitive Science is unique in its combination of artificial intelligence, cognitive science and modeling, language & speech technology, and computational neuroscience. Also, our faculty is the home of the 2016 Nobel Prize Winner in Chemistry, Ben Feringa, and the Nobel Prize winner in Physics, Frits Zernike.

In this accredited and prestigious programme, you will gain skills and know-how in the latest and developing technologies in instrumentation, process control, and industrial automation.

The Digitalization and Automation study program is aimed at graduates of electrical engineering, mechanical engineering, computer science, and industrial engineering. In the field of robotics, programming, and technology, you will be introduced to new developments and future-oriented topics. The special features of the newly created curriculum are the advanced study contents and varied teaching activities, such as interactive lectures and practical experiments.

The goal of this program is to prepare students for the design and development of software for intelligent systems including, e.g. autonomous cars. Students will get up-to-date knowledge in one of the fastest-growing and dominant technological trends of the future. The training offers students the opportunity to acquire valuable knowledge and competences in software technology, real-time systems, artificial intelligence, robotics and deep learning, data mining, computer image and signal processing, process control, computer graphics, and vision. Electives include GIS systems, autonomous systems security issues, and industrial mathematics. Students will be involved in the work of the research labs and can work on real industrial research together with professionals of leading companies interested in autonomous systems and autonomous driving.

The MSc Robotics and Autonomous Systems is designed to equip students with the advanced knowledge and skills needed to develop the innovative solutions required by the emerging global industry in Robotics and Autonomous Systems (RAS), and across many other sectors where RAS skills are applicable.

Become an Industry 4.0 expert! In the Master's in Robotics program, you learn how to foster innovation and new technologies. You not only get to expand your technical and management knowledge but also your soft and leadership skills.

Courses focus on the most important topics of modern control theory, such as optimal control, stochastic control, robust control, fuzzy control, and adaptive control, as well as on the problems of systems identification and adaptive signal processing.

The main objective of this specialism in Control and Robotics is to master the modeling and control of complex robots evolving in dynamic environments by using proprioceptive and exteroceptive perception. The focus is on advanced robotics, but more generally the specialism deals with modern techniques in systems engineering for the modeling simulation, optimization, analysis, and control of a variety of robotics systems.

The MSc in Intelligent Automation This programme gives you the prerequisites for a leading role in the future smart factory where digitisation and virtual tools affect the daily work of both supervisors and operators. In the future smart factory, digitalisation will not be limited to machine equipment and production systems, but also greatly affect the daily work of both management and operators.

Our Sustainable and Autonomous Systems major offers you the opportunity to develop expertise in areas such as real-time embedded systems, wireless communication, and computer vision, all while creating robotized solutions for industries that align with sustainable development. You'll gain the skills to design systems that monitor and respond to environmental challenges, preparing you to be at the forefront of technological innovation.

As intelligent autonomous robots increasingly become part of our lives, the field of human-robot interaction seeks to understand and improve all aspects of interactions between humans and robots.

Sustainable and Autonomous Systems is a new master's programme to educate experts who can consider the needs and opportunities of sustainable development in autonomous systems.

The curriculum in Autonomous Driving Engineering (ADE) is part of the Master’s Degree Course in Electronic Engineering for Intelligent Vehicles (EEIV). This curriculum is designed for students who want to become electronic engineers with a solid knowledge of the methods and tools used in the development of intelligent transportation systems.