Purdue University

Overview

The M.S. in Autonomy at Purdue University equips students with the skills necessary to design, analyze, and implement autonomous robotic systems and intelligent technologies. This program emphasizes a comprehensive understanding of control systems, robotics, and data-driven methodologies, preparing graduates to address real-world challenges within the realm of connected and autonomous systems.

What You'll Study

Programme Focus: The curriculum begins with a solid foundation in advanced mathematics and engineering principles, followed by specialized courses that delve into autonomy, robotics, data analytics, and interconnected systems.

Indicative Coursework Areas:

• Linear Algebra
• Advanced Mathematics for Engineers and Physicists
• Numerical Methods in Mechanical Engineering
• Statistical Methods
• Applied Regression Analysis
• Design of Experiments
• Robotics
• Internet of Things
• Data Mining
• Embedded Systems
• Computer Network Systems
• Network Models for Connected and Autonomous Vehicles
• Data Science for Smart Cities
• Smart Manufacturing in the Process Industries

Capstone/Thesis: Some master’s programs in autonomy may require a culminating project or thesis. Prospective students should verify specific requirements on Purdue’s program page.

Entry Requirements

While GRE/GMAT scores and minimum GPA requirements are not specified, applicants are typically expected to possess a relevant bachelor's degree from an accredited institution.

Career Prospects

Graduates of the M.S. in Autonomy program are well-prepared for diverse career opportunities in robotics, artificial intelligence, and autonomous systems. Potential roles include positions in research and development, engineering, data analysis, and technology management across various industries, including automotive, healthcare, and smart manufacturing.