

Master of Science in Robotics and Autonomous Systems offered by Johns Hopkins University
- Private University
140 acre campus
- Estd. 1876
Master of Science in Robotics and Autonomous Systems at Johns Hopkins University Overview
Master of Science in Robotics and Autonomous Systems
at Johns Hopkins University
Learn how to program and manage multiple robots to perform complex tasks in unison
Duration | 24 months |
Total fee | ₹15.49 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Degree |
Master of Science in Robotics and Autonomous Systems
Table of contentsMaster of Science in Robotics and Autonomous Systems at Johns Hopkins University Highlights
Master of Science in Robotics and Autonomous Systems
at Johns Hopkins University
- Earn a degree from John Hopkins University
- Learn from industry experts
Master of Science in Robotics and Autonomous Systems at Johns Hopkins University Course details
Master of Science in Robotics and Autonomous Systems
at Johns Hopkins University
Skills you will learn
Who should do this course?
- Recent graduates with a bachelor's degree in engineering, computer science, mathematics, physics, or a related field who want to specialize in robotics and autonomous systems
- Professionals working in industries such as manufacturing, aerospace, automotive, healthcare, agriculture, and defense who want to gain expertise in robotics and automation to advance their careers
- Engineers and researchers interested in cutting-edge technologies like machine learning, computer vision, sensor fusion, control systems, and human-robot interaction applied to robotics and autonomous systems
- Entrepreneurs and innovators looking to start or grow businesses in fields such as robotics, drones, autonomous vehicles, medical robots, or industrial automation
What are the course deliverables?
- Students will gain a thorough understanding of how robots are physically constructed, how they move, and the forces that act upon them
- Students will delve into the algorithms and software that control robot motion and behavior
- Students will develop a strong foundation in machine learning and AI techniques, such as computer vision, sensor fusion, and reinforcement learning
More about this course
- This course focuses on advanced studies in robotics, automation, artificial intelligence, and their applications across various industries
- In this course students will learn about design and coordination of multiple robots working collaboratively to achieve complex tasks
- In this course students will explore interfaces and interaction mechanisms between humans and robots, including social aspects and ethical considerations
Master of Science in Robotics and Autonomous Systems at Johns Hopkins University Curriculum
Master of Science in Robotics and Autonomous Systems
at Johns Hopkins University
Core Courses
Algorithms for Data Science
Mathematical Methods For Engineers
Introduction to Robotics
Kinematics & Dynamics of Robots
Autonomous Systems
Foundations of Reinforcement Learning
Autonomic Computing
Dynamics, Navigation, Decision, and Control
Microprocessors for Robotic Systems
Foundations of Reinforcement Learning
General Robotics
Speech Processing
Human Robotics Interaction
Perception and Cognitive Systems
Foundations of Reinforcement Learning
Introduction to Pattern Recognition
Master of Science in Robotics and Autonomous Systems at Johns Hopkins University Entry Requirements
Master of Science in Robotics and Autonomous Systems
at Johns Hopkins University
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Master of Science in Robotics and Autonomous Systems
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