The master's degree program "Mechatronics and Robotics" (MMR) qualifies students in the fields of robotics and autonomous systems. These are the key drivers of current industrial digitization and modern mobility advances, such as highly automated driving.
It continues consecutively from the Bachelor's program "Mechatronics and Autonomous Systems" and is divided into the three areas of required (“Pflicht”), specialization (“Schwerpunkt”) and advanced (“Vertiefung”) modules.
The required modules cover the essential areas for the study course – first, the core components of modern mechatronic systems with the modules Higher Mathematics, Control Engineering, Safety of Mechatronic Systems, and Artificial Intelligence. These courses teach in-depth basic knowledge and modern concepts such as methods of functional safety and machine learning.
Students also choose one of two possible subject specializations, Robotics or Autonomous Systems.
In the Robotics specialization students learn to comprehend, model and control industrial and collaborative robots. They acquire skills to manage modern production systems, which are based on the efficient cooperation between man and machine on the one hand and on the targeted use and processing of the data generated on the other.
In the Autonomous Systems specialization, students learn to select drives and sensors and to program mobile autonomous systems for environmental monitoring and navigation. Modern intralogistics systems, highly automated driving, and the design of modern drive technologies for electric mobility are the focus of this specialization.
Students also select advanced modules for further specialization in mechatronics according to their individual interests. For example, the modules Machine Vision and Big Data focus on information-based aspects of mechatronics, while the module Low Emission Drives allows further specialization in vehicle mechatronics. In the Mechatronic Systems Engineering advanced module, in turn, students deepen their knowledge of project management methods and gain further experience in designing safety-related systems. Thus, students acquire specialist competence in machine vision, industry 4.0, systems engineering or artificial intelligence. In addition, the Applied Research module teaches competence in scientific-academic work.