MSc in Robotics, Cognition, Intelligence

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

Top recruiters

Deloitte

Google

Amazon

Microsoft

Apple

Facebook

Dell

Twitter

Pinterest

Spotify

Tesla

Meta

Fees and Funding

Tuition Fees

$12,000 / year

Overall Cost

$27,000 / year

FAQs

• What are the intake periods and deadlines?
  
  The program admits students only in the winter semester (October start). The application period is usually January to March of the same year.
• Are research opportunities available during the program?
  
  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.
• What career opportunities are available for graduates?
  
  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.
• How competitive is admission?
  
  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.
• What is the language of instruction?
  
  The program is taught entirely in English, making it suitable for international students.
• What is the focus of the M.Sc. in Robotics, Cognition, Intelligence at TUM?
  
  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.