Computer and Information Science

Robotics Program

The University of Pennsylvania’s School of Engineering and Applied Science offers a unique master’s degree in Robotics (ROBO).  This multi-disciplinary program is jointly sponsored by the Departments of Computer and Information Science, Electrical and Systems Engineering, and Mechanical Engineering and Applied Mechanics.

Housed in and administered by the GRASP Lab, one of the top robotics research centers in the world, Penn Engineering’s ROBO master’s program educates students in the science and technology of robotics, vision, perception, control, automation, and machine learning. Our students hail from a variety of engineering, scientific, and mathematical backgrounds, united by a passion for robots and a desire to advance robotic technologies to benefit humanity.  Our program provides an ideal foundation for jobs in a variety of industries including robotics, aerospace, automotive, industrial automation and defense; it also provides a solid basis for further graduate studies.

Degree Requirements

The modern expert in robotics and intelligent systems must be proficient in artificial intelligence, machine learning, computer vision, control systems, kinematics, and dynamics, as well as the design, programming, and prototyping of robotic systems. Our flexible program offers the breadth and depth needed for this type of interdisciplinary training.  Features of the program include:

  1. Course instruction, advising, and master’s thesis supervision by world-renowned robotics faculty.
  2. A total of ten courses in the areas of artificial intelligence, robot design and analysis, controls, and perception, with advanced electives and an optional master’s thesis project.
  3. Access to state-of-the-art experimental facilities in the GRASP Lab and opportunities for research projects in robotics and related fields.
  4. Participation in weekly GRASP seminars and lunches highlighting cutting-edge advances in robotics research and education.
  5. Professional networking with peers in industry and academia, an ideal preparation for doctoral studies in robotics and related fields.