Master of Machine Learning is one of the best courses to choose from that offers in-depth learning in a Machine Tool Technology. An MS Degree in Machine Tool Technology from the University of Tübingen has consistently made its place among the top global universities. International students prefer this course at the University of Tübingen due to its high graduate employability rate.

University of Tübingen offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Machine Tool Technology from the University of Tübingen, students will be competent to carry out extensive research work in the field.

The interactive curriculum, vast research opportunities and exceptional teaching faculty at University of Tübingen offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Machine Tool Technology from the University of Tübingen is a great choice for students who want to analyse the field in great depth.

Why Study Machine Learning at University of Tübingen

  • A popular choice for international students with a diverse community
  • Learn from the best faculty members and become their research assistants
  • High-end labs to facilitate research work
  • Excellent placement programs after course completion

Course Highlights

Official website

link to course page

Annual tuition fees annual tution fees info

€3,000 / year

Total tuition fees total tution fees info

€6,000 / 24 months

interest rates
Interest rates as low as 7.99%
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5000+ Students

Availed education loan

3000+ Cr

Loan amount sanctioned

100% Free

Assistance for loan process

Application Deadline

April 30

  Winter standard deadline


Test Score Requirements test score requirement

Minimum english score required





Minimum aptitude score required


Waived off until further notice

Application Pre-requisites application pre requisite

  • Online Application 
  • Academic Transcripts
  • English Language Proficiency
  • Letter of Motivation 
  • CV
  • GRE Test Score (Optional)

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Course Details

Core subject areas

  • Deep Learning
  • Medical Data Science
  • Visual Perception and Learning for Robotics
  • Numerics of Machine Learning
  • Trustworthy Machine Learning

Class profile

Total no. of students in the class