All students must meet the Requirements for Certificate of Graduate Study.
Overview
Autonomy and robotics are reshaping the modern world. From advanced manufacturing and intelligent transportation systems to robotic surgery, precision agriculture, energy infrastructure, and next-generation defense technologies, these rapidly evolving fields are driving innovation, strengthening economies, and improving quality of life across industries.
Autonomous systems combine tools and concepts from control systems, signal processing, computer programming, and artificial intelligence to enable engineered systems to perceive, decide, and act independently. Robotics integrates mechanical design, actuator and sensor systems, mathematical modeling, and embedded programming to create machines capable of performing complex, real-world tasks. Together, autonomy and robotics form the technological backbone of many of today’s most transformative advancements.
The 12 credit Certificate of Graduate Study in Autonomy and Robotics (CGS-AR) provides a rigorous foundation in autonomous systems, robotics, and artificial intelligence. Designed to formally recognize advanced training in these areas, the program equips students with the interdisciplinary knowledge and technical skills required to lead in this rapidly growing field. While particularly well-suited for graduate students in Electrical Engineering, Mechanical Engineering, and Computer Science, the certificate is open to students across related disciplines seeking expertise at the forefront of intelligent systems.
Specific Requirements
Minimum Degree Requirements
The 12 credit CGS-AR program consists of four courses from the list below.
| Requirement Description | Credits | |
|---|---|---|
| At least 1 of these 3 courses must be taken: | ||
| EE 5550 | Autonomy: Control & Planning | 3 |
| EE 5560 | Autonomy: Robot Perception | 3 |
| ME 5320 | Fundamentals of Robotics | 4 |
| The remaining courses can be selected from the following: | ||
| Modern Signal Processing | ||
| Real-Time Control Systems | ||
| Autonomy: Control & Planning | ||
| Autonomy: Robot Perception | ||
| Convex Optimization | ||
| Nonlinear System Theory | ||
| Fundamentals of Robotics | ||
| Advanced Dynamics | ||
| Advanced Machine Learning | ||
or CS 5611 | Machine Learning for Engineers | |
or CMPE 5611 | Machine Learning for Engineers | |
| Advanced Evolutionary Robotics | ||
| Modeling Complex Systems I | ||
| Deep Learning | ||
| Natural Language Processing | ||
| Internship | ||
or ME 6991 | Internship | |
or CS 6991 | Internship | |
| Independent Study | ||
or ME 6993 | Independent Study | |
or CS 6993 | Independent Study | |
| Graduate Independent Research | ||
or ME 6995 | Graduate Independent Research | |
or CS 6995 | Graduate Independent Research | |