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:
- 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 (33 total semester hours with participation in co-op in certain concentrations)
Minimum 3.000 GPA required
Concentration in 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: | 16 | |
Coursework Option | ||
Project Option | ||
Master’s Project | ||
Thesis Option | ||
Master’s Project | ||
Thesis | ||
Optional Co-op | ||
For students in the this concentration, please consult your academic advisor for co-op procedures. |
Concentration in 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: | 16 | |
Coursework Option | ||
Project Option | ||
Master’s Project | ||
Thesis Option | ||
Master’s Project | ||
Thesis | ||
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. | ||
Optional Co-op | ||
Complete the following (students in EECE and MIE concentrations must complete ENCP 6100 to qualify for co-op experience): | ||
ENCP 6100 | Introduction to Cooperative Education | 1 |
ENCP 6964 | Co-op Work Experience | 0 |
or ENCP 6954 | Co-op Work Experience - Half-Time | |
or ENCP 6955 | Co-op Work Experience Abroad - Half-Time | |
or ENCP 6965 | Co-op Work Experience Abroad |
Concentration in 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: | 16 | |
Coursework Option | ||
Project Option | ||
Master’s Project | ||
Thesis Option | ||
Master’s Project | ||
Thesis | ||
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. | ||
Optional Co-op | ||
Complete the following (students in EECE and MIE concentrations must complete ENCP 6100 to qualify for co-op experience): | ||
ENCP 6100 | Introduction to Cooperative Education | 1 |
ENCP 6964 | Co-op Work Experience | 0 |
or ENCP 6954 | Co-op Work Experience - Half-Time | |
or ENCP 6955 | Co-op Work Experience Abroad - Half-Time | |
or ENCP 6965 | Co-op Work Experience Abroad |
Elective Course List
Any course in the following list will serve as an elective course, provided the student satisfies prerequisites.
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 |