Online Master’s Degrees in Autonomous Technologies
ONLINE MASTER’S DEGREES IN AUTONOMOUS TECHNOLOGIES
Lead the evolution of intelligent systems
Purdue University’s online master’s degrees in Autonomy, Internet of Things and Robotics provide advanced engineering technical education that are directly aligned with transformative technological advancements, cutting-edge research and long-term industry needs. These boundary-pushing programs, designed for today’s world and beyond, offer the same academic rigor and career-enhancing connections as our on-campus programs, and they are taught by the same expert Purdue faculty in the highly esteemed College of Engineering.
Master of Science in Autonomy
Master of Science in Internet of Things
Master of Science in Robotics
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Master of Science in Autonomy
Purdue University’s online Master of Science in Autonomy focuses on the area of analysis, control and design of autonomous systems spanning a variety of application domains. The courses within this major will establish fundamental theories and tools for modeling, analyzing and developing algorithms to achieve autonomy of both individual systems and a network of interconnected systems. It spans core topics like control theory, machine learning, artificial intelligence, networks and advanced courses in emerging topics.
Master of Science in Internet of Things
Purdue University’s online Master of Science in Internet of Things (IoT) prepares engineers to lead in the fast-growing field of connected technologies. The program focuses on the analysis and design of systems that integrate computing, sensors, embedded systems, chip design and wireless communication. Taught by world-class faculty, Purdue’s curriculum builds core skills in embedded computing, VLSI, and networked systems—key areas for success in today’s evolving IoT landscape.
Master of Science in Robotics
Purdue University’s online Master of Science in Robotics equips engineers to lead in the dynamic field of robotics. This program focuses on the analysis, control and design of robotic systems, integrating disciplines such as control theory, machine learning, artificial intelligence and networked systems. The program’s coursework establishes a solid foundation in modeling, analysis and algorithm development for robotic systems. Graduates will be well-prepared to innovate and lead in the evolving landscape of robotics across various industries.
