Robotics (M.S. with a major in Industrial Automation)
Admission Requirements
Applicants must meet requirements for admission to the Graduate School. Students must have a bachelor’s degree or the equivalent in engineering from an accredited college or university. Students from all science, technology, engineering and math (STEM) disciplines will be considered for admission.
All applicants must be admitted to the Graduate School, the College of Engineering, and a department within the college, meeting all applicable admission requirements, including a minimum grade point average of 2.75 for regular admission and 2.5 to 2.74 for qualified admission. Professional experience will be considered in admission.
Program Requirements
The program requires students to complete a minimum of thirty credits using master’s degree Plan A (24 course credits plus a 6 credit master's thesis) or Plan C (30 credits of coursework). Plan A is intended for students planning to go on to pursue a Doctoral degree. All courses must be graduate-level courses offered within the College of Engineering. The program requires applicants to declare one of three majors:
- Industrial Automation, hosted by the Engineering Technology (ET)
- Intelligent Control, hosted by the Electrical and Computer Engineering (ECE)
- Smart Mobility, hosted by the Computer Science (CSC)
The M.S. in Robotics requires competency in three foundational areas for all three majors. A student must take one of the two courses in each of the 3 foundational areas. In addition to fulfilling the general scholarship requirements of the Division, all course work must be completed in accordance with the regulations of the Graduate School and the College of Engineering.
Industrial Automation
| Code | Title | Credits |
|---|---|---|
| Foundational Areas (Please select one course from each area) | 10 | |
Robot Software & Programming | ||
| Software Engineering | ||
or ET 5600 | Python: Industrial Applications | |
Robot Architectures | ||
| Introduction to Cyber-Physical Systems | ||
or ET 5100 | Fundamentals of Mechatronics and Industrial Applications | |
Robot Sensing, Perception, Planning, Dynamics & Control | ||
| Robotic Systems I | ||
or MIT 5700 | Industrial Robots Modeling and Simulation | |
| Departmental Requirement | 4 | |
| Methods of Engineering Analysis | ||
| Electives | 16 | |
| Computer Networking Applications | ||
| Embedded Systems Networking | ||
| Advanced Programmable Controllers and Industrial Applications | ||
| Industrial Robots Programming | ||
| Engineering Project Management | ||
| Advanced Battery Systems for Electric-drive Vehicles | ||
| Industrial Robots Dynamics and Control | ||
| Hybrid Vehicle Technology | ||
| Energy Sources and Conversion | ||
| Machine Tool Laboratory | ||
| Robotics and Flexible Manufacturing | ||
| Master's Project | ||
| Total Credits | 30 | |
Intelligent Control
| Code | Title | Credits |
|---|---|---|
| Foundational Areas (Please select one course from each area) | 10 | |
Robot Software & Programming | ||
| Software Engineering | ||
or ET 5600 | Python: Industrial Applications | |
Robot Architectures | ||
| Introduction to Cyber-Physical Systems | ||
or ET 5100 | Fundamentals of Mechatronics and Industrial Applications | |
Robot Sensing, Perception, Planning, Dynamics & Control | ||
| Robotic Systems I | ||
or MIT 5700 | Industrial Robots Modeling and Simulation | |
| Departmental Requirements | 8 | |
| Control Systems II | ||
| Robotics Systems II | ||
| Electives | 12 | |
| Computer-Controlled Systems | ||
| Embedded System Design | ||
| Smart Sensor Technology I: Design | ||
| Introduction to Digital Image Processing | ||
| Digital Signal Processing | ||
| Introduction to VLSI Systems | ||
| Nonlinear Control Systems | ||
| Discrete Event Systems with Machine Learning | ||
| Dynamic Systems and Optimal Control | ||
| Advanced Digital VLSI Design | ||
| Fuzzy Systems | ||
| Master's Thesis Research and Direction | ||
| Total Credits | 30 | |
Smart Mobility
| Code | Title | Credits |
|---|---|---|
| Foundational Areas (Please select one course from each area) | 10 | |
Robot Software & Programming | ||
| Software Engineering | ||
or ET 5600 | Python: Industrial Applications | |
Robot Architectures | ||
| Introduction to Cyber-Physical Systems | ||
or ET 5100 | Fundamentals of Mechatronics and Industrial Applications | |
Robot Sensing, Perception, Planning, Dynamics & Control | ||
| Robotic Systems I | ||
or MIT 5700 | Industrial Robots Modeling and Simulation | |
| Department Requirement | 3 | |
| Introduction to Mobility | ||
| Electives | 17 | |
| Network, Distributed, and Concurrent Programming | ||
| Computer Systems Security | ||
| Introduction to Machine Learning and Applications | ||
| Computer Graphics I | ||
| Real-Time and Embedded Operating Systems | ||
| Artificial Intelligence I | ||
| Digital Image Processing and Analysis | ||
| Computer Graphics II | ||
| Advanced Topics in Computer Science * | ||
| Graduate Seminar | ||
| Master's Thesis Research and Direction | ||
| Total Credits | 30 | |
- *
CSC 7991 should be taken with the topic area, Embedded Wireless Networking for Cyber-Physical Systems. Students should consult an advisor before choosing this course as an elective.
Online Program
The Online Master's of Science in Robotics-Industrial Automation Program is designed to promote greater depth of understanding in Robotics with an emphasis on Industrial Automation. The Program facilitates advanced coverage in specialized topics and develops rigorous analytical skills preparing graduates to advance their expertise and perform more sophisticated and independent work.
This Master of Science degree is offered under the following option:
Plan C (Coursework): The proposed degree will require the completion of a minimum of thirty credits of course work (14 required + 16 elective credits within the Division). Some students can also take advantage of two 3-credit hours of internship credit (14 required+6 internship+10 elective credits). The degree can be completed in one year (2 semesters and a summer).
| Code | Title | Credits |
|---|---|---|
| Required courses | ||
| ET 7430 | Methods of Engineering Analysis | 4 |
| ET 5600 | Python: Industrial Applications | 3 |
| ET 5100 | Fundamentals of Mechatronics and Industrial Applications | 3 |
| MIT 5700 | Industrial Robots Modeling and Simulation | 4 |
| Elective courses | ||
| Select 16 credits from the following: | 16 | |
| Advanced Programmable Controllers and Industrial Applications | ||
| Industrial Robots Programming | ||
| Engineering Project Management | ||
| Advanced Battery Systems for Electric-drive Vehicles | ||
| Computer Networking Applications | ||
| Robotics and Flexible Manufacturing | ||
| Energy Sources and Conversion | ||
| Hybrid Vehicle Technology | ||
| Special Topics in Engineering Technology I (Topics should be chosen in consultation with an advisor.) | ||
| Graduate Industrial Internship | ||
| Total Credits | 30 | |