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Rheinische Friedrich-Wilhelms-Universität Bonn
Master English Computer Science

Mobile Robotics

Master of Science (M.Sc.)

About the Program

The Mobile Robotics MSc is a research-oriented program offered by the Institute of Geodesy and Geoinformation and the Institute for Computer Science at the University of Bonn. Students learn the fundamentals needed to build and deploy smart robots capable of understanding their environment, moving around within it, and acting intelligently. The program focuses on probability-based and learning techniques for enabling mobile robots to function reliably in real life. Students gain profound insights into robotics, perception, high-precision sensing, 3D reconstruction, machine learning and deep learning, artificial intelligence, computer vision, motion planning, control, humanoids, self-driving cars, and agricultural robotics. The University of Bonn is known as the birthplace of probabilistic robotics, which has now merged with machine learning to create flexible, smart, and robust robots. The program teaches skills in perception, state estimation, modeling, action generation, planning, manipulation, and interaction with the surrounding environment, combining engineering and computer science to produce theoretical and practical solutions to societal issues.
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The Mobile Robotics MSc is a research-oriented program offered by the Institute of Geodesy and Geoinformation and the Institute for Computer Science at the University of Bonn. Students learn the fundamentals needed to build and deploy smart robots capable of understanding their environment, moving around within it, and acting intelligently. The program focuses on probability-based and learning techniques for enabling mobile robots to function reliably in real life. Students gain profound insights into robotics, perception, high-precision sensing, 3D reconstruction, machine learning and deep learning, artificial intelligence, computer vision, motion planning, control, humanoids, self-driving cars, and agricultural robotics. The University of Bonn is known as the birthplace of probabilistic robotics, which has now merged with machine learning to create flexible, smart, and robust robots. The program teaches skills in perception, state estimation, modeling, action generation, planning, manipulation, and interaction with the surrounding environment, combining engineering and computer science to produce theoretical and practical solutions to societal issues.

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Subjects / Topic Areas

Robotics

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Frequently Asked Questions

Quick answers about Mobile Robotics at Rheinische Friedrich-Wilhelms-Universität Bonn

Is Mobile Robotics at Rheinische Friedrich-Wilhelms-Universität Bonn taught in German or English?

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Mobile Robotics programme cost?

No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Mobile Robotics at Rheinische Friedrich-Wilhelms-Universität Bonn?

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline?

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Mobile Robotics?

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Rheinische Friedrich-Wilhelms-Universität Bonn — directly or via uni-assist?

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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