Masters in Robotics Technology in USA

Through a technically challenging curriculum, hands-on learning, and industry co-op placements, you will gain a comprehensive understanding of the algorithms, sensors, control systems, and mechanisms used in robotics to help you stand out in the field and make a transformative impact on society.

The Boston area is a hub for robotics research and industry—including Amazon Robotics, Teradyne, and Bluefin Robotics. Northeastern is proud to play a large role in educating tomorrow's leaders in this emerging area.

Cooperative education at Northeastern is another vital real-world learning opportunity for robotics students. You’ll spend your placement working in innovative industries ranging from technology to energy to automotives here in Boston and across the country. With cooperative education at the core of Northeastern, and more than 100 years of industry and research partnerships, you'll have a unique opportunity to gain real-world experience around the globe.

The Engineering Science MS with a course focus in robotics is an interdisciplinary program intended to train students in robotics, and expand knowledge in automation leading to numerous employment opportunities in the electronic and computer industries, or continued education at the doctoral level.

Areas of training in our courses include robotic integration, motion control development, electromechanical system design, device/sensor development, automation platforms and artificial intelligence (AI).

The master's degree in robotics engineering is designed to propel your career and expertise in one of the most rapidly growing industries in the country, giving you the competitive edge you need to excel.

Why pursue a master's degree in robotics engineering at Widener University? You will: 

• Benefit from a flexible curriculum that supports your current work in the field. All graduate classes are offered in the evening so you can continue to work while you pursue your degree. Classes are also available to stream online.
• Enhance your multidisciplinary comprehension of engineering while still benefiting from specialized study within the field. You'll explore critical topics like perception and sensing, machine intelligence, robotic system, and control.
• Experience personalized research opportunities and ongoing mentorship with professors who are focused on student success and innovation.
• Graduate prepared to help the greater good in a variety of fields, from aerospace and automotive to health care and pharmaceuticals. 

If you'd like to get more involved with research or teaching, graduate assistantships are available.

The Master of Science in Engineering in Robotics (Robotics MSE) program at Johns Hopkins University is designed to advance interdisciplinary robotics knowledge in students coming from a wide variety of engineering, scientific, and mathematical backgrounds.

Johns Hopkins University recognizes the growing need in industry for engineers with the broad multi-disciplinary training and fundamental knowledge needed to develop and deploy advanced robotics systems that function effectively in the real world.

Johns Hopkins University’s broad interdisciplinary approach to robotics research makes it uniquely situated to offer such a comprehensive program. The Laboratory for Computational Sensing and Robotics (LCSR), with its reputation as one of the top robotics research sites in the world, particularly in the area of medical robotics, is pleased to offer this MSE in Robotics

The graduate program in Robotics and Autonomy will educate professionals who are prepared to lead and conduct research, development, and design in robotic systems and technologies. This Master of Science degree is built upon four foundational concepts in robotics: perception, cognition, control, and action. Roughly, these four capabilities comprise:

• obtaining data from the robot’s surroundings (perception);
• reasoning about how those data yield information about the robot’s environment (cognition);
• mapping environmental information to a decision about how to react to the environment (control);
• translating that reaction decision into movement and an interaction with the physical environment (action).

The Master of Engineering (MEng) in Engineering, Autonomy and Robotics Concentration is a professionally-oriented degree program for students whose primary intent is a career in industry or government.  This degree differs from the Master of Science (MS) degree in that it is a professionally-oriented master's degree that is not a pathway to a doctoral program. The Major in Engineering for the M.Eng. degree requires the selection of an interdisciplinary concentration, which must be identified at the time of application.

The routine use of remote sensing techniques has become an indispensable element of many activities in our modern world. A huge variety of sensors on satellites, airplanes, unmanned aerial vehicles (“drones”), and other platforms provide data for a variety of applications on a regular basis. The MPS in “Applied Remote Sensing” offered by the University of Miami’s Rosenstiel School of Marine and Atmospheric Science (RSMAS) and Center for Southeastern Tropical Advanced Remote Sensing (CSTARS) provides theoretical knowledge and experiential learning for careers in the field of remote sensing in both public and private sectors. Working professionals in this field may also acquire additional training to expand their current knowledge and skillset.

The Robotics track within the Master of Science in Engineering is interdisciplinary and requires six credits for developing strong foundations in advanced engineering math, and scientific computation and programming. The selections of the remaining credits are focused on developing advanced knowledge in an industrial robotics team environment consisting of four disciplines. Depending on the student’s background and interest, a student can choose nine credits from a primary discipline in computer science, electrical engineering, computer engineering, or mechanical engineering as well as select up to nine credits from other disciplines. The track is flexible enough to develop both depth and breadth in robotics.