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The multidisciplinary Master of Science program in robotics is offered by the College of Engineering and the Khoury College of Computer Sciences. The program is designed to provide students comprehensive training in algorithms, sensors, control systems, and mechanisms used in robotics.
Gordon Institute of Engineering Leadership
Master's Degree in Robotics with Graduate Certificate in Engineering Leadership
Students may complete a Master of Science in Robotics in addition to earning a Graduate Certificate in Engineering 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 | |
Robot Mechanics and Control | ||
Control Systems Engineering | ||
Electrical and Computer Engineering | ||
Complete one of the following: | 4 | |
Mobile Robotics | ||
Assistive Robotics | ||
Robotics Sensing and Navigation | ||
Computer Science | ||
Complete one of the following: | 4 | |
Reinforcement Learning and Sequential Decision Making | ||
Robotic Science and Systems |
Concentrations
Complete one of the following concentrations:
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 | |
Robot Mechanics and Control | ||
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 | ||
ME 7945 | Master’s Project | 4 |
Complete 12 semester hours of courses from the elective course list. | 12 | |
Thesis Option | ||
ME 7990 | Thesis | 8 |
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 | |
Mobile Robotics | ||
Assistive Robotics | ||
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 | ||
EECE 7674 | Master’s Project | 4 |
Complete 12 semester hours of courses from the elective course list. | 12 | |
Thesis Option | ||
EECE 7990 | Thesis | 8 |
Complete 8 semester hours of courses from the elective course list. | 8 |
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 | |
Reinforcement Learning and Sequential Decision Making | ||
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 | ||
CS 8674 | Master’s Project | 4 |
Complete 12 semester hours of courses from the elective course list. | 12 | |
Thesis Option | ||
CS 8674 | Master’s Project | 4 |
CS 7990 | Thesis | 4 |
Complete 8 semester hours of courses from the elective course list. | 8 |
Elective Course List
Code | Title | Hours |
---|---|---|
Mixed Reality | ||
Foundations of Artificial Intelligence | ||
Artificial Intelligence for Human-Computer Interaction | ||
Pattern Recognition and Computer Vision | ||
Computer/Human Interaction | ||
Algorithms | ||
Natural Language Processing | ||
Machine Learning | ||
Empirical Research Methods | ||
Advanced Machine Learning | ||
Deep Learning | ||
Special Topics in Artificial Intelligence | ||
Supervised Machine Learning and Learning Theory | ||
Mobile Robotics | ||
Assistive Robotics | ||
Robotics Sensing and Navigation | ||
Classical Control Systems | ||
Computer Vision | ||
Data Visualization | ||
Introduction to Machine Learning and Pattern Recognition | ||
Autonomous Field Robotics | ||
Numerical Optimization Methods | ||
Information Theory | ||
Advanced Computer Vision | ||
Advanced Machine Learning | ||
Advanced Special Topics in Electrical and Computer Engineering (Legged Robots) | ||
Human Performance | ||
Statistical Methods in Engineering | ||
Human Factors Engineering | ||
Neural Networks and Deep Learning | ||
Computer Aided Design and Manufacturing | ||
Mechatronic Systems | ||
Robot Mechanics and Control | ||
Elasticity and Plasticity | ||
Dynamics and Mechanical Vibration | ||
Control Systems Engineering | ||
Musculoskeletal Biomechanics | ||
Mathematical Methods for Mechanical Engineers 1 | ||
Introduction to Microelectromechanical Systems (MEMS) | ||
Advanced Control Engineering |
Program Credit/GPA Requirements
32 total semester hours required
Minimum 3.000 GPA required