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.

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 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.

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.

Would you like to explore the most recent advancements in engineering and technology while constructing your own automated intelligent machine in the laboratory? Explore the boundaries of technological innovation and sustainability with a Master's in Mechatronics and Automation. Here, you get to work on real-world challenges and build your own mechatronic systems in our laboratories. These are often fully functional scale models of large cyber-physical systems, of which you will also develop a digital twin.

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.

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.

Autonomous systems have essential applications, e.g., in energy production and recovery as well as in circular economy. Students who graduate from the program will build robotized solutions, e.g., for production, energy field, transportation, and logistics. The program combines computer science, real-time embedded systems, wireless communication, computer vision, and other sensing of the environment, locational awareness.

Autonomy, adaptability and network integration are characteristic features of complex IT systems. Conventional control systems and architectures are no longer adequate to realize the potential of these technologies completely, nor are they sufficient to master the complexity of such systems. The international program 'Autonomous Systems' offers multi-faceted training in the fields of artificial intelligence and robotics, spanning a whole range of issues involved in the field.

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.

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.

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.

The master’s program provides high-level education to graduate students with a Bachelor in Electrical Engineering or scientific disciplines.

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.