MasterOn-CampusFull-Time

Santa Clara University

MS in Robotics and Automation

Santa Clara, California2 years$58K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $57.7K in total tuition, the MS in Robotics and Automation sits about 36% above the $42.4K average for AI master's programs in our database β€” placing it in the 75th percentile on cost among the 531 we track at this level.

Est. Salary$110,000
Job Growth+10%
Top RoleRobotics Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
2 years
Est. Tuition
$58K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Machine Learning, Robotics & Autonomous Systems

Typical admitted student: A bachelor's degree in engineering, computer science, or related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, calculus, and physics.

About This Program

This interdisciplinary program integrates mechanical, electrical, and computer engineering to provide students with the expertise needed to design and control robotic systems and smart machines. Coursework concentrates on Machine Learning and Robotics & Autonomous Systems. Most students complete it in about 2 years.

Estimated total tuition is $57.7K, above the $42.4K average for AI master's programs in our database and in the 75th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Position as Robotics Engineer in Engineering AI with machine learning expertise Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $110,000.

Career Outcomes

Position as Robotics Engineer in Engineering AI with machine learning expertise

  • 1. Robotics Engineer
  • 2. Automation Controls Engineer
  • 3. Mechatronics Specialist
  • 4. Autonomous Systems Developer

What You'll Learn

  • Design and control robotic systems for industrial automation
  • Implement computer vision and sensor fusion for perception
  • Develop motion planning algorithms for autonomous navigation
  • Optimize mechatronic systems for reliability and efficiency

Curriculum Highlights

The curriculum offers concentration options in autonomous vehicles, aerospace systems, or agricultural technology, featuring a capstone design project or master's thesis for real-world application.

Top Employers

Top employers include Tesla, Boston Dynamics, Siemens, and Amazon Robotics.

Admissions

A bachelor's degree in engineering, computer science, or related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, calculus, and physics.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Optional
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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