The University of Utah
M.S. in Computing - Robotics Track
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Admission Snapshot
Typical admitted student: Applicants must hold a bachelor's degree in computer science, engineering, or a related technical field with a minimum GPA of 3.0. A strong foundation in mathematics, physics, and programming is expected; GRE scores are typically required.
About This Program
This graduate track within the computing program focuses on the design, control, and intelligence of robotic systems and autonomous agents.
Career Outcomes
Position as Robotics Engineer in Engineering AI with computer vision expertise
- 1. Robotics Engineer
- 2. Autonomous Systems Developer
- 3. Control Systems Engineer
- 4. Manufacturing Automation Specialist
What You'll Learn
- Design and implement robotic systems using advanced control algorithms and mechatronic components
- Develop computer vision and sensor fusion techniques for autonomous perception and decision-making
- Apply motion planning and trajectory optimization methods for robot navigation in complex environments
- Integrate embedded systems and real-time software architectures into robotic platforms
Curriculum Highlights
The curriculum features core computing courses followed by specialized electives in robotics, computer vision, and autonomous system controls.
Top Employers
Top employers include Tesla, Boston Dynamics, ABB Robotics, KUKA, iRobot, and major aerospace and manufacturing companies investing in automation.
Admissions
Applicants must hold a bachelor's degree in computer science, engineering, or a related technical field with a minimum GPA of 3.0. A strong foundation in mathematics, physics, and programming is expected; GRE scores are typically required.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: M.S. (Master of Science)
- GRE: Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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