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University of Bonn

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North Rhine-Westphilia

Germany

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Total Tuition Fees

$1,25,068

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Duration

24 Months

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Median Salary

$1,10,000

Ranking

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#114

US World and News Report

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#114

The World University Rankings

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Intake

Winter ( Jan - Mar )

Class Profile

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Class Size

25

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Average Age

28

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Average Work Experience

2 Years

Diversity

Europe:

10%

Africa:

1%

Others:

1%

Germany:

80%

Asia:

5%

North America:

2%

South America:

1%

Career Outcomes

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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

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Machine learning engineer

Top recruiters

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Eligibility Criteria

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Accepted fields include Mobile Computing, Robotics.

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At least 3 / 4 undergraduate GPA is expected.

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At least 16 years of bachelor degree.

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At least 24 months of full-time professional experience after graduation.

English Proficiency Tests

  • TOEFL

    90

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  • IELTS

    6.5

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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.

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Application Fee: 0

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    Transcript

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    Master SOP

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    Resume

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    Passport

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    IELTS

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    Academic LOR

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    Professional LOR

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    Class 10 Marksheets

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    Professional LOR

Application Deadlines

Regular
WinterMay 31, 2026

Fees and Funding

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Tuition Fees

$62,534 / year

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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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