QS Rank:

28

Technical University of Munich

Bavaria
,Germany

Program Rank

28

Program Name
MSc in Robotics, Cognition, Intelligence

Deadline
November 30th, 2026
Overview

Total Tuition Fees
$24,000

Duration
24 Months
Ranking
#74
US World and News Report
#38
The World University Rankings
#28
QS World University Rankings

Intake
Fall ( Sept - Nov )

Intake
Spring ( Apr - June )

Intake
Summer ( July - Sept )

Intake
Winter ( Jan - Mar )
Class Profile

Class Size
25

Average Age
28

Average Work Experience
2 Years

Admission Policy
Merit-based
Career Outcomes
Prospective Job Roles
Automation Engineer
Robotics Engineer
Autonomous Systems Developer
AI/Machine Learning Engineer
Research Scientist (Robotics/AI)
Top recruiters





Eligibility Criteria

At least 3 years of bachelor degree.

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

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

At least 3.0 / 4.0 undergraduate GPA is expected.
English Proficiency Tests
IELTS
6.5

PTE
65

TOEFL
88

Cambridge

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: 0.00

Transcript

Resume

English Proficiency Test

Professional LOR

Passport

Resume

Master SOP

Academic LOR

IELTS

Personal Statement

General LOR

Essay

Degree Certificate

Research Papers/Publications

Portfolio
Application Deadlines
| Final | |
|---|---|
| Winter | May 31, 2026 |
| Summer | Nov 30, 2026 |
Fees and Funding

Tuition Fees
$12,000 / year

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.
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