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

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

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

Why Study Robotics at Northwestern University

  • 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

$82,372 / year

Total tuition fees total tution fees info

$82,372 / 12 months

interest rates
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5000+ Students

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3000+ Cr

Loan amount sanctioned

100% Free

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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
  • Official Transcripts
  • Three letters of recommendation
  • Proof of English language proficiency
  • Personal Statement
  • Resume

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Course Details

Core subject areas

  • Automatic control
  • Kinematics and dynamics
  • Machine learning
  • Path planning
  • Human-machine interfaces
  • Biomedical engineering
  • Neuroscience
  • Robotic rehabilitation
  • Prosthetics