For program contact information, please visit this website.
The multidisciplinary Master of Science program in robotics is offered bythe College of Engineering and the Khoury College of ComputerSciences. The program is designed to provide studentscomprehensive training in algorithms, sensors, control systems, andmechanisms used in robotics.
In this degree program, students will be admitted (as of Spring 2025) to the college associated with their concentration, and their degree is awarded by that college. The concentrations are associated with the colleges as follows:
- Computer Science—Khoury College of Computer Sciences
- Electrical and Computer Engineering—College of Engineering
- Mechanical Engineering—College of Engineering
Students will follow all policies associated with their home college.
Gordon Institute of Engineering Leadership
Master's Degree in Robotics with Graduate Certificate in Engineering Leadership
Students may complete a Master of Science inRobotics in addition to earning a Graduate Certificate inEngineering Leadership. Students must apply and be admitted to the Gordon Engineering Leadership Program in order to pursue this option. The program requires fulfillment of the 16-semester-hour curriculum required to earn the Graduate Certificate in Engineering Leadership, which includes an industry-based challenge project with multiple mentors. The integrated 40-semester-hour degree and certificate will require 24 semester hours of advisor-approved robotics technical courses.
Complete all courses and requirements listed below unless otherwise indicated.
Core Requirements
| Code | Title | Hours |
|---|---|---|
| Mechanical Engineering | ||
| Complete one of the following: | 4 | |
ME5250 | Robot Mechanics and Control | |
ME5659 | Control Systems Engineering | |
| Electrical and Computer Engineering | ||
| Complete one of the following: | 4 | |
EECE5550 | Mobile Robotics | |
EECE5552 | Assistive Robotics | |
EECE5554 | Robotics Sensing and Navigation | |
| Computer Science | ||
| Complete one of the following: | 4 | |
CS5180 | Reinforcement Learning and Sequential Decision Making | |
CS5335 | Robotic Science and Systems | |
Concentrations
Complete one of the following concentrations:
- Computer Science—Khoury College of Computer Sciences
- Electrical and Computer Engineering—College of Engineering
- Mechanical Engineering—College of Engineering
Program Credit/GPA Requirements
32 total semester hours required
Minimum3.000GPA required
Computer Science
| Code | Title | Hours |
|---|---|---|
| Students in the computer science concentration follow the Khoury College of Computer Sciences co-op policies. | ||
| Required Course | ||
| Complete one additional CS course not used to fulfill the core requirements: | 4 | |
CS5180 | Reinforcement Learning and Sequential Decision Making | |
CS5335 | Robotic Science and Systems | |
| Complete one of the following options: | ||
| Coursework Option | ||
| Complete 16 semester hours of courses from the elective course list. | 16 | |
| Project Option | ||
| CS8674 | Master’s Project | 4 |
| Complete 12 semester hours of courses from the elective course list. | 12 | |
| Thesis Option | ||
| CS8674 | Master’s Project | 4 |
| CS7990 | Thesis | 4 |
| Complete 8 semester hours of courses from the elective course list. | 8 | |
Electrical and Computer Engineering
| Code | Title | Hours |
|---|---|---|
| Students in the electrical and computer engineering concentration follow the College of Engineering co-op policies. | ||
| Required Course | ||
| Complete one additional EECE course not used to fulfill the core requirements: | 4 | |
EECE5550 | Mobile Robotics | |
EECE5552 | Assistive Robotics | |
EECE5554 | Robotics Sensing and Navigation | |
| Complete one of the following options: | ||
| Coursework Option | ||
| Complete 16 semester hours of courses from the elective course list. | 16 | |
| Project Option | ||
| EECE7945 | Master’s Project | 4 |
| Complete 12 semester hours of courses from the elective course list. | 12 | |
| Thesis Option | ||
| EECE7945 | Master’s Project | 4 |
| EECE7990 | Thesis | 4 |
| Complete 8 semester hours of courses from the elective course list. | 8 | |
| In addition to completing the thesis course, students must successfully complete the thesis submission process, including securing Committee and Graduate School of Engineering signatures and submission of an electronic copy of their MS Thesis to ProQuest. | ||
Mechanical Engineering
| Code | Title | Hours |
|---|---|---|
| Students in the mechanical engineering concentration follow the College of Engineering co-op policies. | ||
| Required Course | ||
| Complete one additional ME course not used to fulfill the core requirements: | 4 | |
ME5250 | Robot Mechanics and Control | |
ME5659 | Control Systems Engineering | |
| Complete one of the following options: | ||
| Coursework Option | ||
| Complete 16 semester hours of courses from the elective course list. | 16 | |
| Project Option | ||
| ME7945 | Master’s Project | 4 |
| Complete 12 semester hours of courses from the elective course list. | 12 | |
| Thesis Option | ||
| ME7945 | Master’s Project | 4 |
| ME7990 | Thesis | 4 |
| Complete 8 semester hours of courses from the elective course list. | 8 | |
| In addition to completing the thesis course, students must successfully complete the thesis submission process, including securing Committee and Graduate School of Engineering signatures and submission of an electronic copy of their MS Thesis to ProQuest. | ||
Elective Course List
Any course in the following list will serve as an elective course, provided the student satisfies prerequisites.
| Code | Title | Hours |
|---|---|---|
CS5097 | Mixed Reality | |
CS5100 | Foundations of Artificial Intelligence | |
CS5170 | Artificial Intelligence for Human-Computer Interaction | |
CS5330 | Pattern Recognition and Computer Vision | |
CS5340 | Computer/Human Interaction | |
CS5800 | Algorithms | |
CS6120 | Natural Language Processing | |
CS6140 | Machine Learning | |
CS6350 | Empirical Research Methods | |
CS7140 | Advanced Machine Learning | |
CS7150 | Deep Learning | |
CS7180 | Special Topics in Artificial Intelligence | |
EECE5550 | Mobile Robotics | |
EECE5552 | Assistive Robotics | |
EECE5554 | Robotics Sensing and Navigation | |
EECE5580 | Classical Control Systems | |
EECE5639 | Computer Vision | |
EECE5642 | Data Visualization | |
EECE5644 | Introduction to Machine Learning and Pattern Recognition | |
EECE7150 | Autonomous Field Robotics | |
EECE7323 | Numerical Optimization Methods | |
EECE7337 | Information Theory | |
EECE7370 | Advanced Computer Vision | |
EECE7397 | Advanced Machine Learning | |
EECE7398 | Advanced Special Topics in Electrical and Computer Engineering (Legged Robots) | |
IE6500 | Human Performance | |
IE7280 | Statistical Methods in Engineering | |
IE7315 | Human Factors Engineering | |
IE7615 | Neural Networks and Deep Learning | |
ME5240 | Computer Aided Design and Manufacturing | |
ME5245 | Mechatronic Systems | |
ME5250 | Robot Mechanics and Control | |
ME5654 | Elasticity and Plasticity | |
ME5655 | Dynamics and Mechanical Vibration | |
ME5659 | Control Systems Engineering | |
ME5665 | Musculoskeletal Biomechanics | |
ME6200 | Mathematical Methods for Mechanical Engineers 1 | |
ME6260 | Introduction to Microelectromechanical Systems (MEMS) | |
ME6250 | Wearable Robotics | |
ME7247 | Advanced Control Engineering | |
PT5170 | Motor Control | |
PT5321 | Applications of Biomechanics in Human Function and Movement | |
PT7005 | Experimental Design and Applied Statistics | |
PT7020 | Technologies in Movement and Rehabilitation Science |
