Master of Science in Computer and Systems Engineering - Robotics

Autonomy, Robotics, and Control (ARC) is a vibrant research area in ECSE. Faculty and researchers in this area are conducting multi-disciplinary cutting-edge research focusing on high impact applications and fundamental methodologies. Applications: ECSE research in this area is motivated by compelling needs, including human-robot systems, advanced manufacturing, cyber-physical systems, autonomous systems, power systems, thermal management, biological systems, human health, micro-robotics, materials processing. Methodologies: Research in this area is grounded in fundamental methodologies in complex large-scale systems, network science, formal methods, computer vision, cognitive engineering, machine learning, artificial intelligence (AI). Multidisciplinary: Control, robotics, and automation is inherently multidisciplinary. ECSE faculty collaborate with researchers in mechanical engineering, industrial and systems engineering, computer science, and cognitive science to develop broad perspective and innovative solutions.

Transcripts and Degrees must be in English (all post-secondary education, including transcript keys). Unofficial transcripts should be uploaded to your graduate application. The minimum requirement for admission consideration is the completion and award of a four year U.S. bachelor's degree, or its equivalent, by the time of planned enrollment.