• uni logo

QS Rank:

verified

28

uni logo

Technical University of Munich

flag

Bavaria

Germany

icon

Program Rank

tooltip

28

The Master of Science (M.Sc.) in Robotics, Cognition, Intelligence at the Technical University of Munich (TUM) is a unique, interdisciplinary program in Germany. Offered jointly by the Departments of Informatics, Electrical Engineering and Information Technology, and Mechanical Engineering, it integrates various engineering disciplines with informatics. The program focuses on the development of intelligent, autonomous robots capable of learning and adapting through artificial intelligence. Students gain a broad foundation in robotics, cognition, and intelligent autonomous systems, covering topics from classical robot control to perception, image processing, AI, signal processing, sensor data evaluation, machine learning, and human-robot interaction. The curriculum offers significant flexibility through elective modules, culminating in a Master's Thesis where students apply their knowledge to a practical project.
intake

Total Tuition Fees

$24,000

intake

Duration

24 Months

Ranking

icon

#74

US World and News Report

icon

#38

The World University Rankings

icon

#28

QS World University Rankings

intake

Intake

Fall ( Sept - Nov )

intake

Intake

Spring ( Apr - June )

intake

Intake

Summer ( July - Sept )

intake

Intake

Winter ( Jan - Mar )

Class Profile

intake

Class Size

25

intake

Average Age

28

intake

Average Work Experience

2 Years

intake

Admission Policy

Merit-based

Career Outcomes

Graduates of the Robotics, Cognition, Intelligence Master's program are well-prepared for opportunities in both research and industry. They can pursue careers in diverse sectors such as aviation and aerospace, microelectronics, consumer electronics, biomedical engineering, and the automotive industry, contributing to the development of advanced autonomous systems and artificial intelligence.

Prospective Job Roles

Automation Engineer

Robotics Engineer

Autonomous Systems Developer

AI/Machine Learning Engineer

Research Scientist (Robotics/AI)

Top recruiters

logo
logo
logo
logo
logo

Eligibility Criteria

intake

At least 3 years of bachelor degree.

intake

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

intake

Accepted fields include Computer Science, Electrical Engineering, Mechanical Engineering, Physics, Embedded Systems, Mechatronics, Systems Engineering, Informatics, Mathematics.

intake

At least 3.0 / 4.0 undergraduate GPA is expected.

English Proficiency Tests

  • IELTS

    6.5

    tooltip
  • PTE

    65

    tooltip
  • TOEFL

    88

    tooltip
  • Cambridge

    tooltip

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.

intake

Application Fee: 0.00

  • intake

    Transcript

  • intake

    Resume

  • intake

    English Proficiency Test

  • intake

    Professional LOR

  • intake

    Passport

  • intake

    Resume

  • intake

    Master SOP

  • intake

    Academic LOR

  • intake

    IELTS

  • intake

    Personal Statement

  • intake

    General LOR

  • intake

    Essay

  • intake

    Degree Certificate

  • intake

    Research Papers/Publications

  • intake

    Portfolio

Application Deadlines

Final
WinterMay 31, 2026
SummerNov 30, 2026

Fees and Funding

Tuition for non-EU/EEA international students: EUR 6,000 per semester (EUR 12,000 per year; EUR 24,000 total for 2-year program). Semester fee of EUR 97 per semester is mandatory. Uni-assist handling fee (VPD) EUR 75; APS processing fees apply for India/China/Vietnam. Merit- and need-based tuition waivers/scholarships are available for highly qualified international students.
intake

Tuition Fees

$12,000 / year

intake

Overall Cost

$27,394 / year

FAQs

  • The program admits students only in the winter semester (October start). The application period is usually January to March of the same year.
  • Yes. Students can work in leading TUM research labs such as the Munich School of Robotics and Machine Intelligence (MSRM). Many projects are connected to industry collaborations with companies like Siemens, BMW, and Fraunhofer Institutes.
  • Graduates work in robotics companies, AI startups, autonomous systems, medical robotics, automotive industries (self-driving vehicles), and research labs. Many continue to PhD programs in robotics, machine learning, or AI.
  • Admission is very competitive. Applicants are evaluated on academic transcripts, a statement of purpose, letters of recommendation, and relevant experience in robotics, AI, or research projects. A strong GPA and research background improve admission chances.
  • The program is taught entirely in English, making it suitable for international students.
  • The program provides interdisciplinary training in robotics, artificial intelligence, machine learning, perception, and human-robot interaction. It combines computer science, mechanical engineering, and cognitive sciences to prepare students for research and development in intelligent autonomous systems.

Ready to elevate your study abroad journey?

Book a call with us now and take the first step towards your global future!

Connect with us on our social media

  • icon
  • icon
  • icon
  • icon