TX

Master's in AI
On-Campus

The University of Texas at Austin | Graduate Portfolio Program in Robotics

  • Austin


About This Program

This interdisciplinary program allows graduate students to earn a certification of expertise in robotics alongside their master’s or doctoral degree.

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What You'll Learn
  • Design and implement advanced robotic systems using CAD, simulation, and prototyping tools
  • Develop control algorithms and real-time systems for autonomous and semi-autonomous robots
  • Integrate computer vision and sensor fusion for robot perception and decision-making
  • Apply robotics solutions to industrial automation, manufacturing, and emerging applications
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The Graduate Portfolio Program in Robotics is a graduate degree program at The University of Texas at Austin that integrates advanced robotics design, control systems, and automation with practical portfolio development and industry collaboration.
Typical Course Topics
1. Advanced Robotics Design and Kinematics 2. Robot Control Systems and Dynamics 3. Autonomous Systems and Navigation 4. Machine Vision and Perception 5. Collaborative Robotics and Human-Robot Interaction 6. Robotics Applications in Manufacturing and Automation
Program Specializations:
Computer Vision
Robotics & Autonomous Systems
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree in engineering, computer science, mathematics, or a related field with a minimum GPA of 3.0. A strong background in mathematics, physics, and programming is expected, and GRE scores may be required depending on program requirements.
Academic Requirements (Typical)

β€’ Degree Required: Master of Science in Robotics or Graduate Certificate
β€’ GRE: Required
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ Transcripts: Official transcripts required
β€’ Portfolio: May be required demonstrating prior robotics or engineering work

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Career Opportunities in AI

Excel as Robotics Engineer in Engineering AI with robotics expertise

Estimated Industry Salary
Robotics Engineer: $85,000 Autonomous Systems Engineer: $105,000 Manufacturing Engineer (Robotics Focus): $78,000 Research Scientist (Robotics): $95,000
Total compensation (entry to mid-level)
AI Job Growth
15%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Engineer 2. Autonomous Systems Engineer 3. Control Systems Specialist 4. Manufacturing/Industrial Engineer
Top AI Employers (Industry-Wide):
Top employers in robotics include Tesla, Boston Dynamics, ABB Robotics, KUKA, Intuitive Surgical, and major aerospace and defense contractors such as Lockheed Martin and NASA.
Program Details
Duration
  • 2 Year
Tuition
$ 13,560
Format
On-Campus
Specializations
Computer Vision
Robotics & Autonomous Systems
Official Resources