This English-taught, internationally oriented Master's programme (MEng / Master of Arts) in Robotics, hosted within the field of Mechanical Engineering, builds on the Technical Committee (TC) on Intelligent Robotics and responds to the needs of regional industry. Course content addresses both industrial and medical technology applications, so graduates are prepared for roles across development, commissioning, application and user-support in companies as well as in research and development.
The curriculum combines fundamentals and applied topics: robotics, systems engineering, human–robot interaction, machine learning and computer science. Students study perception for robotic systems, modern automatic control and decision-making (for example motion planning), robot modelling and simulation, and application-driven subjects in industrial robotics and automation. Practical, project-based work — including robot programming with ROS — and coverage of intelligent multi-agent systems ensure hands-on skills alongside theory.
Graduates leave with specialist expertise and methods to independently apply scientific results in both industry and the service sector, and with the foundations needed to keep pace with future technical developments. The programme’s international orientation and English instruction make it suitable for students from diverse backgrounds who want to shape the increasing use of robotic systems in industry and medical settings.
Program focuses and key learning outcomes
Curriculum overview
This program is taught across three semesters and blends core mechanical-engineering foundations with hands-on robotics specialties. In the first semester you build a technical base in dynamics, control, statistics/machine learning for vision, embedded systems and project management, plus a course on Cross-Cultural Development for Engineers to support international teamwork and mobility. That semester emphasizes modelling, control theory and data-driven vision methods that are essential for robotic systems.
In the second semester you choose a major track—Intelligent Robotics or Assistive Robotics—each offering focused, application-oriented modules. The Intelligent Robotics track centers on robot modelling and simulation, advanced robotic methods, vision and image processing, ROS programming and multi-agent intelligence for industrial automation and collaborative systems. The Assistive Robotics track concentrates on human-centred technologies such as soft robotics, sensor fusion and perception, biomechanics, rehabilitation robotics and human–robot interaction, with case studies aimed at improving quality of life.
The third semester is dedicated to advanced coursework, a subject-related elective (FWP), a Master's module and a two-part Master's seminar (including a 2 ECTS Master's colloquium and a seminar series titled "Career Start into German Technology Companies"), culminating in the Master's thesis. Overall the curriculum combines theoretical rigour with practical projects and industry-relevant training to prepare graduates for roles in research, development or industry deployment of robotic systems.
Core modules and requirements
First semester
Second semester — Major: Intelligent Robotics
Second semester — Major: Assistive Robotics
Third semester
Key learning outcomes
This programme expects applicants to hold a substantial technical undergraduate qualification and reserves the right to check whether prior study and experience are sufficiently relevant. If your bachelor’s credentials come from a country that is not a signatory of the Lisbon Recognition Convention, you are advised to provide additional test evidence to support your application. In some cases you may also need to demonstrate professional suitability through an aptitude assessment.
Winter Semester (International)
15 June 2026
Summer Semester (International)
1 December 2026
Winter Semester (EU/EEA)
15 June 2026
Summer Semester (EU/EEA)
1 December 2026
Graduates are prepared for roles in research and development, industrial automation, medical and rehabilitation technology, and service sectors involving robotic systems. Typical activities include robot system design and commissioning, control and motion planning, perception and sensor fusion, simulation and modelling, and end‑user support.
The programme’s mix of theoretical foundations and applied projects (including ROS experience and industry‑focused case studies) also supports entry into R&D positions, technical engineering roles in automation companies, and further academic study.
TU Dortmund University — Dortmund
Esslingen University of Applied Sciences — Esslingen am Neckar
TU Bergakademie Freiberg — Freiberg
University of Siegen — Siegen