Autonomous Systems
University of Stuttgart PO Box 10 60 37 70049 Stuttgart, Germany
Master of Science in Autonomous Systems
University of Stuttgart
Autonomous Systems / Engineering / Computer Science
Program Overview: M.Sc. Autonomous Systems
The Master of Science in Autonomous Systems at the University of Stuttgart is an interdisciplinary program that prepares you to design, develop, and deploy systems capable of operating safely, reliably, and efficiently in complex environments. Spanning fields from mobile robotics to intelligent transport and automated manufacturing, the program addresses the growing demand for engineers who can bridge multiple technical disciplines.
This program is a cooperation between three faculties: Computer Science, Electrical Engineering and Information Technology; Energy-, Process- and Bio-Engineering; and Engineering Design, Production Engineering and Automotive Engineering. This unique cross-faculty structure forges strong links between theoretical foundations and application-oriented engineering practice.
Located in Stuttgart, one of Europe's most dynamic industrial and technology regions, you will benefit from proximity to leading automotive, robotics, and engineering companies. The program equips you with the knowledge to contribute to the next generation of adaptive, intelligent systems across diverse sectors.
Key Program Highlights
- Interdisciplinary curriculum spanning computer science, electrical engineering, and mechanical engineering
- Cross-faculty cooperation linking theoretical and application-oriented study programs
- Located in one of Europe's strongest industrial and technology regions with excellent industry connections
- Member of TU9, the alliance of leading German technical universities
Curriculum and Modules
The M.Sc. Autonomous Systems curriculum is structured across four semesters and integrates knowledge from computer science, electrical engineering, and mechanical engineering. Students build a strong theoretical foundation before specializing through elective modules and completing a master's thesis in the final semester.
Machine Learning and Artificial Intelligence
6 ECTSCovers foundational and advanced methods in machine learning and AI, including supervised and unsupervised learning, neural networks, and their application to autonomous decision-making systems.
Robotics and Sensor Systems
6 ECTSExplores the principles of robotic systems including kinematics, dynamics, sensor integration, and actuator control for both stationary and mobile robots.
Control and Automation Engineering
6 ECTSFocuses on control theory, feedback systems, and automation techniques essential for designing autonomous systems that respond adaptively to their environments.
Signal Processing and Information Technology
6 ECTSProvides knowledge in digital signal processing, data acquisition, and information extraction techniques used in autonomous perception and communication systems.
Decision Making and Planning
6 ECTSCovers algorithms and methods for autonomous decision-making, path planning, and optimization under uncertainty in complex real-world scenarios.
Master's Thesis
30 ECTSAn independent research project conducted in the final semester, allowing you to apply your acquired knowledge to a cutting-edge topic in autonomous systems under faculty supervision.
Elective Specializations
Admission Requirements
The M.Sc. Autonomous Systems is designed for graduates who hold a relevant bachelor's degree and wish to deepen their expertise in interdisciplinary autonomous systems engineering. Admission is subject to local restriction, so meeting the minimum requirements does not guarantee a place. All applications and inquiries are handled through Uni4Edu.
Academic Requirements
- Bachelor's DegreeCompleted bachelor's degree (minimum 6 semesters) in Electrical Engineering, Computer Science, Software Engineering, Aerospace Engineering, Mechanical Engineering, Vehicle and Engine Technology, Technical Cybernetics, Mechatronics, or a closely related field
- Academic PerformanceQualifying examination results demonstrating strong academic performance in relevant technical subjects
- Admission TypeLocal admission restriction (Numerus Clausus) applies; meeting minimum requirements does not guarantee admission
- IntakeBoth summer and winter semester intake available
- Equivalent QualificationsGraduates from universities of applied sciences or cooperative state universities with equivalent qualifications may also be eligible
Language Requirements
- German ProficiencyDSH-2, TestDaF 4x4, or equivalent certification required (program is taught in German)
- Alternative German CertificatesGoethe-Zertifikat C1 or telc Deutsch C1 Hochschule may also be accepted
- English ProficiencyNot formally required for this German-taught program, but recommended for reading scientific literature
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
While the University of Stuttgart does not typically offer full scholarships for degree programs directly, several external and university-affiliated funding options are available to support international students pursuing the M.Sc. Autonomous Systems. Contact Uni4Edu for personalized guidance on funding opportunities.
Deutschlandstipendium (Germany Scholarship)
EUR 300 per monthAwarded based on academic excellence and additional criteria such as social engagement. The scholarship is co-funded by private sponsors and the German Federal Ministry of Education and Research. Open to all students regardless of nationality.
DAAD Scholarships for International Students
Approximately EUR 992 per month for master's studentsThe German Academic Exchange Service (DAAD) offers scholarships to highly qualified international students. Coverage may include a monthly stipend, health insurance, travel allowance, and a research grant. Eligibility and deadlines vary by program.
Christian Buerkert Emergency Fund
Varies based on individual needShort-term emergency scholarships funded by the Christian Buerkert Foundation for enrolled international students experiencing sudden financial hardship due to unforeseen circumstances such as armed conflicts, natural disasters, or family emergencies.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the M.Sc. Autonomous Systems are highly sought after in Germany's thriving technology and engineering sectors. Stuttgart's position at the heart of Europe's leading industrial region, home to major automotive and engineering firms, provides exceptional career opportunities. The interdisciplinary nature of the program opens doors across multiple high-growth industries.
Potential Career Roles
Top Employers in the Region
Rankings and Recognition
The University of Stuttgart is a member of TU9, the alliance of nine leading German technical universities, and consistently ranks among the top institutions worldwide for engineering and technology. Its strong industry ties and research output are reflected in excellent positions across all major international ranking systems.
| Subject | Ranking Body | Rank |
|---|---|---|
| Engineering and Technology | QS Subject Rankings | #182 |
| Mechanical, Aeronautical and Manufacturing Engineering | QS Subject Rankings | #82 |
| Engineering | THE Subject Rankings | Top 125 |
| Aerospace Engineering | ARWU GRAS | #46 |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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