Master of Science in Autonomous Systems
A cutting-edge MSc programme in robotics, AI, and human-centred automation at Hochschule Bonn-Rhein-Sieg.
Best for:Best for computer science, engineering, or mathematics graduates interested in robotics, AI, and human-centred automation with a focus on research and practical applications.
Overview
The Master of Science in Autonomous Systems at Hochschule Bonn-Rhein-Sieg focuses on designing, implementing, and deploying advanced robotics and AI systems for real-world applications. Students engage in hands-on research, project work, and competitions like RoboCup, while collaborating with leading research institutes such as Fraunhofer IAIS. The programme blends theoretical coursework with practical R&D projects, offering students the opportunity to work on cutting-edge technologies in AI, machine learning, and robotics. It is ideal for graduates with a strong background in computer science, mathematics, or engineering who seek to specialise in autonomous systems and human-robot collaboration.
What you'll do
- Participate in cutting-edge research projects in robotics, AI, and machine learning under the guidance of academic and industry experts.
- Engage in hands-on project work, including developing and testing autonomous systems for real-world applications.
- Collaborate with leading research institutes such as Fraunhofer IAIS and participate in international robotics competitions like RoboCup.
- Conduct independent research and write a Master’s thesis on a topic related to autonomous systems.
- Develop and document technical solutions for robotics and AI challenges, including system design, implementation, and evaluation.
- Present research findings and project outcomes in seminars and conferences.
- Work in interdisciplinary teams to solve complex problems in robotics and automation.
Requirements
Degree required: Bachelor's degree (or equivalent) in computer science, mathematics, natural sciences, or engineering with at least 65% computer science content or 50% if from a related field.
Degree offered: Master of Science (MSc)
Language: English proficiency at B2 level or equivalent (e.g., telc English B2-C1 University, PTE Academic 71, TOEFL iBT 88, IELTS Academic 6.5, Cambridge English Qualifications B2 First)
Instruction: English
- Strong background in computer science concepts, methods, and tools
- Proficiency in programming and algorithm development
- Knowledge of robotics, AI, and machine learning principles
- Experience with data analysis and computational problem-solving
- Ability to work in collaborative, research-oriented environments
- Minimum grade point average (GPA) of 2.5 on the German grading scale (1=excellent to 5=fail) or equivalent based on the Bavarian formula conversion
- No German language skills required
- Open to international applicants with visa requirements and those without
- Limited number of candidates per semester to ensure high-quality education
Funding & terms
Programme and admissions
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How to apply
Deadline: 15 May to 15 July (summer semester) or 15 November to 15 February (winter semester) for applicants with visa requirements; 15 May to 15 December (summer semester) or 15 November to 15 June (winter semester) for others
Applicants must submit their application through uni-assist or the university’s official website. Required documents include a Bachelor’s degree certificate, transcripts, proof of English proficiency, a CV, a letter of motivation, and any additional assignments if required. The application process varies slightly depending on visa requirements and nationality.
- Bachelor’s degree certificate
- Transcripts of academic records
- Proof of English proficiency (B2 level or equivalent)
- Curriculum Vitae (CV)
- Letter of motivation
- Additional assignments (up to 12 ECTS credits) if required
Contact
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