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 options:
- Biomedical and Rehabilitation Robotics—College of Engineering
- 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
Biomedical and Rehabilitation Robotics Concentration—College of Engineering
| Code | Title | Hours |
|---|---|---|
| Required Courses | ||
| Complete one of the following: | 4 | |
| Bioengineering Design for Robotic Rehabilitation | ||
| Motor Control and Lab for PT 5170 | ||
| Applications of Biomechanics in Human Function and Movement | ||
| Complete one of the following options: | 16 | |
Coursework Option | ||
Project Option | ||
Students working with Department of Physical Therapy, Movement, and Rehabilitation Sciences faculty should enroll in the PT course. Students working with Department of Bioengineering faculty should choose the BIOE course. | ||
| Master’s Project | ||
or PT 7995 | Master’s Project | |
Thesis Option | ||
Students working with Department of Physical Therapy, Movement, and Rehabilitation Sciences faculty should enroll in the PT course. Students working with Department of Bioengineering faculty should choose the BIOE course. | ||
| Master’s Project | ||
or PT 7995 | Master’s Project | |
| Thesis | ||
or PT 7990 | Thesis | |
| Optional Co-op | ||
| Complete the following (students 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 | |
Computer Science Concentration—Khoury College of Computer Sciences
| 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 | ||
| Options | ||
| Complete one of the following options: | 16 | |
Coursework Option | ||
Project Option | ||
| Master’s Project | ||
Thesis Option | ||
| Thesis | ||
| Master’s Project | ||
| Optional Co-op | ||
| For students in the this concentration, please consult your academic advisor for co-op procedures. | ||
Electrical and Computer Engineering Concentration—College of 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 | ||
| Options | ||
| 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 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 | |
Mechanical Engineering Concentration—College of 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 | ||
| Options | ||
| 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 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 |
|---|---|---|
| Systems, Signals, and Controls for Bioengineers | ||
| Design of Biomedical Instrumentation | ||
| Biomaterials | ||
| 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 | ||
| 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 | ||
| Wearable Robotics | ||
| Introduction to Microelectromechanical Systems (MEMS) | ||
| Advanced Control Engineering | ||
| Motor Control | ||
| Applications of Biomechanics in Human Function and Movement | ||
| Core Concepts in Rehabilitation Science and Research | ||
| Experimental Design and Applied Statistics | ||
| Technologies in Movement and Rehabilitation Science |