Autonomously operating robots currently drive technological change and are pushing into everyday life. They take on transport or monitoring tasks, mow the lawn or steer us through the traffic. Increasingly complex tasks that were previously reserved for humans can be mastered by more powerful sensors, artificial intelligence methods, sophisticated mechanics and distributed algorithms. The diploma course in robotics at TU Bergakademie Freiberg prepares prospective engineers to help shape this change and to understand it as an interdisciplinary challenge.
The course combines mathematical and scientific fundamentals with computer science, electrical engineering and mechanical engineering. Building on introductory courses in mathematics and physics, specific lectures on topics such as software development, embedded systems, artificial intelligence, virtual reality, and machine learning follow in the course of the course. Further lectures on automation technology, electrical engineering and sensor technology, including sensor data evaluation, generate a deeper understanding of the complex systems of autonomous robots.
On the application side, students can choose from the fields of mining, geomonitoring, technology and the environment in order to always be able to describe the robot system from the perspective of an application scenario. The study of robotics at the TU Bergakademie Freiberg is strongly based on practical experience. Theoretical knowledge is expanded through a variety of laboratories and project tasks, which are then implemented with the Bergakademie's RoboCup team, among others. A practical semester completes this concept and provides insights into commercial tasks in an autonomous context.
Ultimately, students gain a comprehensive understanding of autonomous robot systems and, based on this, are able to assess and master the challenges of individual applications. They are able to analyze, model, implement and evaluate complex systems in robotics with the help of mathematical, computer science, natural science and engineering principles.
Please note that the language of instruction is German. At TUBAF we offer various Master's degree programs taught in English.
Faculty of Mathematics and Computer Science (Faculty 1)
- Standard period of study
- Part-time possible
- Start of studies
Winter semesterSummer semester
- Admission requirement
Abitur (German secondary school leaving certificate) or a subject-specific higher education entrance qualification, or a recognized equivalent access authorization
- Course language