Engineering Cybernetics
The Master of Science in Engineering Cybernetics is a highly specialized graduate program offered by the University of Stuttgart, focusing on the study and control of complex dynamic systems. This full-time, research-oriented degree combines principles from mathematics, systems theory, and computer science to design intelligent, autonomous, and adaptive systems. Students gain advanced knowledge in automatic control, artificial intelligence, and modeling while developing analytical and computational skills essential for modern engineering challenges. The program spans four semesters and admits students exclusively in the winter semester.
Located in Stuttgart, one of Europe’s most advanced technology hubs, the program integrates academic excellence with strong practical relevance. Through close cooperation with industry and interdisciplinary research centers, students are exposed to real-world applications in automation, robotics, and intelligent systems. With Germany’s reputation for engineering innovation, this program offers the ideal environment for aspiring researchers and engineers who seek to advance the future of smart technologies and cyber-physical systems.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Stuttgart
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Systems Engineering, Mathematics, Technomathematics
- Admission modus: Local admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Systems and Control
- Linear and Nonlinear Control Systems
- Mathematical Modeling of Dynamic Systems
- Simulation and Computational Methods
- System Identification and Estimation
Semester 2 – Intelligent Systems and Robotics
- Artificial Intelligence and Machine Learning
- Autonomous and Adaptive Systems
- Sensors and Signal Processing
- Control Laboratory and Research Project I
Semester 3 – Advanced Cybernetics Applications
- Optimization and System Design
- Mechatronic System Integration
- Networked and Distributed Systems
- Research Project II or Industry Internship
Semester 4 – Master’s Thesis and Presentation
- Independent Research Thesis
- Applied Project in Automation or AI Systems
- Oral Defense and Final Presentation
Career Opportunities
Graduates of the Master’s in Engineering Cybernetics are highly sought after in industries that require precision automation, intelligent control, and innovative engineering solutions. Career paths include control systems engineer, robotics developer, systems analyst, AI researcher, and simulation engineer. Graduates often work in sectors such as aerospace, automotive, manufacturing, robotics, and renewable energy or continue in academia through doctoral studies in cybernetics or intelligent systems.
Why Choose This Program
Choosing the Master of Science in Engineering Cybernetics at the University of Stuttgart means joining a program that combines academic excellence with global innovation. Students benefit from access to state-of-the-art laboratories, interdisciplinary research, and collaborations with leading technology firms.
The curriculum’s unique balance of theory and practical application allows graduates to develop a deep understanding of system dynamics and control while fostering creativity and problem-solving. With Stuttgart’s strong industrial presence and Germany’s reputation for engineering leadership, this program offers an outstanding foundation for a successful international career in cybernetics and intelligent systems.
Contact Information
University of Stuttgart – Student Advisory Service
Pfaffenwaldring 5c
70569 Stuttgart, Germany
Tel: +49 711 685-82133
Email: zsb@uni-stuttgart.de
Program Contact – Engineering Cybernetics
University of Stuttgart
Institute for Systems Theory and Automatic Control
Pfaffenwaldring 9, 70569 Stuttgart, Germany
Email: info@isys.uni-stuttgart.de
International Office – University of Stuttgart
Pfaffenwaldring 60
70569 Stuttgart, Germany
Tel: +49 711 685-68566
Email: incoming@ia.uni-stuttgart.de
