The University of Texas at Austin

How this program compares

At an estimated $13.6K in total tuition, the Graduate Portfolio Program in Robotics sits roughly 68% below the $42.9K average for AI master's programs in our database — placing it in the 8th percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: 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.

About This Program

This interdisciplinary program allows graduate students to earn a certification of expertise in robotics alongside their master's or doctoral degree. Coursework concentrates on Computer Vision and Robotics & Autonomous Systems. Most students complete it in about 2 years.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in cheaper than about 70% of the Texas programs in our data, where typical tuition runs near $41.5K.

Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $95,000.

Design and implement advanced robotic systems using CAD, simulation, and prototyping tools.

At roughly $13.6K total, The University of Texas at Austin's Graduate Portfolio Program in Robotics sits below the $42.9K average among AI master's programs we track — the 8th percentile on price. That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

Graduates of The University of Texas at Austin's Graduate Portfolio Program in Robotics most often target Robotics Engineer roles, where reported compensation runs around $95,000. Its focus on Computer Vision and Robotics & Autonomous Systems maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 15% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Robotics Engineer
• 2. Autonomous Systems Engineer
• 3. Control Systems Specialist
• 4. Manufacturing/Industrial Engineer

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

Curriculum Highlights

Requirements include 12 credit hours of robotics coursework from at least three different departments, plus attendance and presentation at research seminars.

Top Employers

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.

Admissions

Admission to The University of Texas at Austin's Graduate Portfolio Program in Robotics generally expects a master of science in robotics or graduate certificate. Plan for the GRE, which this program lists as required. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions