M.S.E. in Electrical Engineering
The M.S.E. in Electrical Engineering program at Arizona State University is designed to...
M.S. in Artificial Intelligence Engineering (Robotics)
Polytechnic
INTAKE: Jan & Aug
Program Overview
The M.S. in Artificial Intelligence Engineering (Robotics) at Arizona State University (ASU) is a cutting-edge program that integrates artificial intelligence, computer science, and mechanical and electrical engineering to prepare students for the rapidly growing field of intelligent robotics. This program emphasizes the design, control, and implementation of autonomous systems capable of perceiving, learning, and interacting with their environment. Students gain in-depth knowledge of robotics engineering, machine learning, computer vision, and human-robot interaction, enabling them to develop AI-powered robotic systems for industries such as manufacturing, healthcare, logistics, and defense. The program’s interdisciplinary structure provides both theoretical foundations and practical experience, ensuring graduates are equipped to lead innovation in automation and intelligent systems.
STEM Designated: The M.S. in Artificial Intelligence Engineering (Robotics) program at ASU is STEM-designated, which allows international students to apply for an extended Optional Practical Training (OPT) period of up to 36 months in the United States. This designation reflects the program’s strong emphasis on science, technology, engineering, and mathematics, and its alignment with U.S. industry demand for AI and robotics expertise.
Curriculum: The curriculum is designed to provide students with advanced technical knowledge and hands-on experience in robotics and AI integration. Core courses cover topics such as Machine Learning for Engineers, Robot Dynamics and Control, Computer Vision, Autonomous Systems, Deep Learning, and Human-Robot Interaction. Students also gain exposure to AI-driven perception systems, robotic simulation, and embedded control programming. The program includes practical lab sessions, project-based learning, and research opportunities, allowing students to design and test autonomous robotic systems. Capstone projects often involve real-world collaborations with industry or research partners, emphasizing innovation and problem-solving.
Research Focus: ASU is recognized globally for its research excellence in artificial intelligence and robotics. The program’s research areas include autonomous navigation, robot perception and learning, collaborative robotics (cobots), AI for industrial automation, and human-robot collaboration. Faculty and students engage in interdisciplinary research through ASU’s advanced labs such as the Robotics and Intelligent Systems Laboratory (RISLab) and the AI and Machine Learning Center. These research initiatives focus on developing intelligent robotic systems capable of decision-making, adaptation, and human-like interaction, contributing to the evolution of next-generation automation technologies.
Industry Engagement: The program maintains strong partnerships with global technology companies, robotics manufacturers, and research organizations. Students benefit from internships, co-op programs, and applied research collaborations with industry leaders in sectors such as aerospace, healthcare, automotive, and logistics. ASU’s proximity to major innovation hubs in Arizona, including partnerships with companies like Intel, Honeywell, and Raytheon, provides students with real-world exposure and career opportunities. Industry workshops and networking events further enhance professional readiness and technical competency.
Global Perspective: With a strong commitment to innovation and international collaboration, ASU’s M.S. in Artificial Intelligence Engineering (Robotics) program prepares graduates to address global challenges in automation, sustainability, and intelligent systems. The curriculum’s focus on ethical AI development and cross-cultural teamwork ensures students are ready to lead robotics initiatives worldwide. Through partnerships with international research institutes and participation in global robotics competitions, students gain exposure to cutting-edge developments and cross-border collaboration opportunities.
Location
Polytechnic
Score
IELTS 7
Tuition Fee
USD 29880
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 80% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 7.0 with a minimum of 6.5 in each component.
- TOEFL: Overall score of 90 or higher.
- DET: Overall score of 115 or higher.
The University of Arizona State University (ASU) is a renowned public research university located in the United States.
Merit-based Scholarships: ASU offers a range of merit-based scholarships to international students based on their academic achievements. These scholarships recognize outstanding academic performance, leadership potential, and extracurricular involvement. Examples of merit-based scholarships include the New American University Scholarship, President's Scholarship, and Provost's Scholarship.
International Excellence Awards: ASU provides International Excellence Awards to exceptionally talented international students. These awards are highly competitive and are based on criteria such as academic achievements, contributions to the community, and potential for future success. The International Excellence Awards are available at both undergraduate and graduate levels.
Financial Need-based Scholarships: ASU also offers scholarships to international students based on their financial need. These scholarships aim to provide financial assistance to deserving students who may require additional support to pursue their education. Students are required to demonstrate their financial need through appropriate documentation.
Departmental Scholarships: Many departments and colleges within ASU offer scholarships specific to their academic disciplines. These scholarships are designed to support students pursuing studies in particular fields of study. Students should inquire directly with their respective departments or colleges to explore scholarship opportunities related to their area of interest.
External Scholarships: ASU encourages international students to explore external scholarship opportunities from government agencies, foundations, corporations, and other organizations. The university provides resources and guidance to assist students in identifying and applying for external scholarships that may be available to them.
It's important to note that scholarship availability, eligibility criteria, and application processes may vary. Students should review the specific requirements and deadlines associated with each scholarship opportunity and prepare their applications accordingly.
Graduates of the M.S. in Artificial Intelligence Engineering (Robotics) program at Arizona State University (ASU) are equipped with the interdisciplinary expertise to excel in robotics, automation, and intelligent systems. Combining AI, machine learning, and robotics engineering, the program prepares students for a wide range of advanced technical and leadership roles across industries such as manufacturing, healthcare, aerospace, logistics, and defense.
Robotics Engineer: Robotics Engineers design, develop, and maintain robotic systems used in manufacturing, healthcare, and autonomous applications. They work on robotic hardware, control algorithms, and embedded systems to improve efficiency, safety, and automation in various industries.
Machine Learning Engineer: Machine Learning Engineers create intelligent models that allow robots to perceive, learn, and adapt to their environments. They use deep learning, reinforcement learning, and predictive analytics to enhance the decision-making and autonomy of robotic systems.
Autonomous Systems Engineer: Autonomous Systems Engineers focus on designing and implementing self-operating machines such as drones, self-driving vehicles, and industrial robots. They integrate AI algorithms with sensor data to enable safe and intelligent navigation in complex environments.
Control Systems Engineer: Control Systems Engineers develop algorithms and mechanisms to regulate the motion, stability, and performance of robotic devices. They ensure that robots respond accurately to commands and adapt efficiently to dynamic conditions in industrial and real-world applications.
Computer Vision Engineer: Computer Vision Engineers specialize in enabling robots to “see” and interpret their surroundings through cameras and sensors. They apply AI techniques in image recognition, object tracking, and 3D mapping to enhance robotic perception and autonomy.
Human-Robot Interaction Specialist: Human-Robot Interaction (HRI) Specialists design systems that improve collaboration and communication between humans and robots. They focus on usability, safety, and user experience, ensuring robots can operate effectively alongside people in workplaces and homes.
Robotics Software Developer: Robotics Software Developers create the software frameworks that control robotic systems. They program motion planning, navigation, and perception algorithms, ensuring that robots function seamlessly in real-world environments.
AI Research Scientist (Robotics): AI Research Scientists explore advanced AI methods to improve robotic intelligence, adaptability, and efficiency. They work in research institutions, universities, and corporate labs to develop next-generation robotics technologies, including humanoid and collaborative robots.
Automation Engineer: Automation Engineers apply AI-driven robotics to streamline industrial processes in sectors like manufacturing, logistics, and energy. They develop automated production lines, robotic arms, and quality control systems that enhance productivity and reduce costs.
Mechatronics Engineer: Mechatronics Engineers combine mechanical, electrical, and computer engineering principles to design smart robotic systems. They integrate sensors, actuators, and AI-driven control mechanisms to create intelligent, efficient machines capable of performing complex tasks.
