
University of Bonn

North Rhine-Westphilia
,Germany

Program Name
Masters in Mobile Robotics

Deadline
May 31st, 2026
Overview

Total Tuition Fees
$1,25,068

Duration
24 Months

Median Salary
$1,10,000
Ranking
#114
US World and News Report
#114
The World University Rankings

Intake
Winter ( Jan - Mar )
Class Profile

Class Size
25

Average Age
28

Average Work Experience
2 Years
Diversity
Europe:
10%Africa:
1%Others:
1%Germany:
80%Asia:
5%North America:
2%South America:
1%Career Outcomes

Median Earnings After Graduation
$1,10,000 / year
Prospective Job Roles
Assistant Professor
Robotics Technician
College Professor
Machine learning researcher
Human-Robot Interaction Researcher
Robotics Engineer
ML engineer in Robotics
consulatant
Machine learning engineer
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Eligibility Criteria

Accepted fields include Mobile Computing, Robotics.

At least 3 / 4 undergraduate GPA is expected.

At least 16 years of bachelor degree.

At least 24 months of full-time professional experience after graduation.
English Proficiency Tests
TOEFL
90

IELTS
6.5

Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 0

Transcript

Master SOP

Resume

Passport

IELTS

Academic LOR

Professional LOR

Class 10 Marksheets

Professional LOR
Application Deadlines
| Regular | |
|---|---|
| Winter | May 31, 2026 |
Fees and Funding

Tuition Fees
$62,534 / year

Overall Cost
$77,534 / year
FAQs
- Applicants must submit their application via the university’s online portal, ensuring all required documents (degree certificate/transcript, language proof, proof of required subject credits) are submitted by the deadline.
- Yes — the programme is closely connected with the Center for Robotics, University of Bonn and cutting-edge research in mobile robotics including autonomous sensing, mapping, manipulation, and agriculture robotics.
- Applicants must hold a Bachelor’s degree (or equivalent) in a relevant discipline such as computer science, geodesy, engineering, applied mathematics or similar. They need a solid foundation in mathematics, programming (e.g., Python), and relevant engineering or science subjects.
- Students learn how to build and deploy intelligent mobile robots that understand their environment, move within it, and act autonomously. Key areas include perception, state estimation, modelling, action generation, planning, manipulation, environment interaction, machine learning, and probabilistic techniques.
- The programme has a standard period of 4 semesters (2 years full-time).
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