DEGREE REQUIREMENTS
10 courses, 30 credit hours, including a capstone. The options listed below are specific to the ONLINE program and meet the overall degree requirements. You will work with a faculty advisor to develop a customized and relevant plan of study selected from the courses below. Additional courses may become available online and are available on-campus.
Thesis option: Currently, WPI’s online graduate programs do not offer a thesis option, as theses cannot be completed online. If you wish to pursue a thesis on campus, it is the student’s responsibility to find an advisor. Please note that depending on the project’s subject and timeframe, there might not be a faculty member willing or able to advise.
FOUNDATION (9 Credits)
*Requires RBE 500.
CORE (Minimum of 6 credits of additional RBE Courses)
ENGINEERING CONTEXT (3 credits)
- MIS 576. Project Management
- BUS 546. Managing Technological Innovation
- SYS-courses with the prefix of SYS
ELECTIVES (9 credits)
9 credits from Science, Engineering, or Business
CAPSTONE PROJECT (3 credits)
One of the central priorities in WPI’s educational philosophy is the application of academic skills and knowledge to real-world problems. With an advisor's guidance, students choose a robotics engineering project that offers substantive evaluation and application of the coursework covered in the program.
- RBE 594. Capstone Project Experience in Robotics Engineering
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The project-based course integrates robotics engineering theory and practice, and provides the opportunity to apply the skills and knowledge acquired in the Robotics Engineering curriculum. The project is normally conducted in teams of two to four students. Students are encouraged to select projects with practical significance to their current and future professional responsibilities. The projects are administered, advised, and evaluated by WPI faculty as part of the the learning experience, but students are also encouraged to seek mentorship from experienced colleagues in the Robotics Engineering profession. (Prerequisites: Since the Capstone Project will draw on knowledge obtained throughout the degree program, it is expected that students will have completed most or all of the coursework within their plan of study before undertaking the capstone project).
- Example of a capstone project from our Systems Engineering Department
MS in Robotics Engineering with Autonomous Vehicles (AV) Specialization*
*View a sample of course topics under development for this specialization here. Courses listed with a course number are currently enrolling with the anticipation of new courses being added in 2019 and beyond. Prospective students can begin enrolling in available courses with the intent to follow the AV Specialization track.
Course Schedule
FALL TERM
- RBE 500. Foundations of Robotics
- RBE 501. Robot Dynamics
- RBE 580. Biomedical Robotics (2 credits)
- RBE 595 ST. Deep Learning for Advanced Robot Perception
- RBE 595 ST. Deep Reinforcement Learning
(every other year starting in AY 2019)
- Additional RBE core courses as available
- BUS 546. Managing Technical Innovation
- SYS 501. Concepts of Systems Engineering
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SPRING TERM
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SUMMER TERM
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ADDITIONAL RBE ELECTIVES
- Other select courses from ECE, SYS, MA and ME
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Course offerings are subject to change. If you are interested in enrolling, please contact us for the most up-to-date information.
For the rotation schedule of additional management and math courses, please click here.
Software used in this program: Matlab/Simulink, Python, openCV, Theano 0.8 or later, NVIDIA toolkit with cuDNN Anaconda, Microsoft Project, Microsoft Corporation, TensorFlow, Keras, Gym from Openai
