Master of Science in Robotics & Autonomous Systems

Robotics & Autonomous Systems have become a part of everyday life, and exponential growth is anticipated in areas including medicine, transportation, supply chains, and space exploration.

The Master of Science in Robotics & Autonomous Systems has been designed to combine instruction in the underlying theoretical basis for modern robotics and autonomous systems with machine learning and hands-on experience in industry or research. Through coursework highlighting cutting-edge technologies and internship placements with industry partners and pioneering researchers, students graduate prepared for successful careers in industry or for further study in a doctoral program.
The program can be completed in 2-3 semesters, including an internship.

Request Info

Attend a Webinar

For Spring 2022 & Fall 2022: The GRE is not needed from applicants to all master’s programs (except LEAP) who have earned, or will earn, a 4 year degree from a U.S. institution. For these applicants, not submitting GRE scores will not have a negative impact on the evaluation of your application. See our Application Requirements for details.

Program Highlights

The MS in Robotics & Autonomous Systems is designed for students coming from any engineering or computer science bachelor’s degree program, and teaches them to synthesize engineering with machine learning. Students will complete advanced coursework and gain hands-on experience by integrating:

  • Machine Learning
  • Soft Robotics
  • Feedback and Control Systems
  • Mechatronics
  • Self-Driving Vehicles
  • Smart City Technologies
  • Assistive Technologies
  • Environmental and Sustainable Systems
  • Medical and Surgical Device Development

Degree Program Structure

The program consists of 32 credits (eight four-credit courses) and a required zero-credit, full-time industrial or research internship. The program includes one required introductory course, four robotics core courses (one each in the areas of control, design, perception, and machine learning), and three technical electives. The program has partnered with industry and faculty labs to provide internship opportunities tailored to individual goals.

Robotics and Autonomous Systems Practicum
A unique component of the MS in Robotics & Autonomous Systems is an internship, preferably performed at one of the 120-plus robotics and autonomous systems companies in the Boston area.  Companies such as Amazon Robotics, Ava Robotics, Boston Scientific, DEKA, GreenSight Agronomics, MassRobotics, MathWorks, Maxar Space Robotics, Medtronic, Mitsubishi Electric Research Labs, Optimus Ride, Philips Robotics, Prodrive, PTC Realtime Robotics, Vecna Robotics, Yrobot Inc. have agreed to consider students in this program for internships. Students may complete an internship placement arranged through the program, arrange one independently (requires prior approval), or complete a research internship in a faculty lab. Also, students enrolled in the program while employed can request to use their work experience to satisfy the internship requirement.

Are you looking for Robotics & Autonomous Systems interns for your organization?
Please contact Prof. Sean Andersson, Director of the masters program in Robotics & Autonomous Systems, to become a partner organization.

Required Course (4 credits)
Introduction to Robotics

Robotics Core (Choose 4 courses, 16 credits) – Choose one each in Control (C), Design (D), Perception (P), and Machine Learning (ML)

Robot Motion Planning (C,P)
Medical Robotics (D)
Vision, Robotics, and Planning (C,P)
Soft Robotics (D)
Formal Methods in Robotics (C)
Cyberphysical Systems (P)
Learning from Data (ML)
Machine Learning (ML)

Technical Electives (Choose 3 courses, 12 credits)
Any graduate engineering or physical science course (500 and above) may be used as an elective (including those from the Robotics Core list above).