Robotics and Autonomous Systems (Systems Engineering), MS
Program Overview
This MS program in Robotics and Autonomous Systems (Systems Engineering) emphasizes system-level competency in robotics and autonomous systems. It provides students with a foundation in systems engineering principles and their application to robotics and autonomous systems, preparing them for leadership roles in research, development, design, and implementation of robotic and autonomous systems in various industries.
Program Outline
Degree Overview:
This MS program in Robotics and Autonomous Systems (Systems Engineering) emphasizes system-level competency in the rapidly growing fields of robotics and autonomous systems.
The systems engineering concentration provides students with a foundation in systems engineering principles and their application to robotics and autonomous systems.
Program Objectives:
- Prepare graduates for leadership roles in research, development, design, and implementation of robotic and autonomous systems in various industries.
- Equip students with advanced knowledge and practical skills in the analysis, design, control, and integration of robotic and autonomous systems.
- Provide students with the ability to apply systems engineering principles in the development of complex robotic and autonomous systems.
Program Description:
This program covers various aspects of robotics and autonomous systems, including:
- It is offered in person at the Polytechnic campus.
- Students can complete the program with a portfolio, thesis, or applied project.
Outline:
Program Content:
The program comprises coursework in systems engineering, robotics, autonomous systems, artificial intelligence, and related fields. Students can choose to pursue a thesis, project, or portfolio option for their culminating experience.
Course Structure:
The program consists of 30 credit hours of coursework and a culminating experience. Required core courses include Applied Linear Algebra for Engineers or MAE 501 Linear Algebra in Engineering, and Robotic Systems I or MAE 547 Modeling and Control of Robots or RAS 545 Robotic Systems I.
- Robotics: This module includes courses on robot manipulator kinematics, dynamics, control, and sensors. Students also learn about path planning, manipulation, and object recognition.
- Students can choose from a variety of elective courses to tailor the program to their specific interests.
- The program culminates in either a thesis, project, or portfolio.
Assessment:
Assessment Methods:
Students are assessed through a combination of coursework assignments, projects, examinations, and a culminating experience. The specific assessment methods vary depending on the chosen culminating experience option.
Assessment Criteria:
The assessment criteria are based on student understanding of the concepts covered in the coursework and their ability to apply them to real-world problems. Students are expected to demonstrate strong analytical and problem-solving skills, as well as proficiency in written and oral communication.
Teaching:
Teaching Methods:
The program uses a variety of teaching methods, including lectures, hands-on laboratory experiments, group projects, and independent research. Students have the opportunity to interact with faculty, industry professionals, and fellow students through various activities.
Faculty:
The program faculty comprises experts in robotics, autonomous systems, systems engineering, artificial intelligence, and related fields. Students benefit from the faculty's experience and expertise in conducting research, teaching, and collaborating with industry.
Unique Approaches:
The program offers several unique approaches that enhance student learning and engagement:
- Project-based learning: Students work on hands-on projects to apply the concepts they learn.
- Industry collaborations: The program partners with industry leaders to provide real-world problem-solving opportunities.
- Research opportunities: Students can participate in research projects with faculty members.
- The program fosters a collaborative learning environment where students work together to learn and solve problems.
Careers:
Career Paths:
Graduates of this program are prepared for a range of careers in various industries, including:
- Automation
- Control systems
- Machine learning
- Robotics
- Aerospace
- Automotive
- Defense
Career Opportunities:
Students can pursue careers such as automation engineer, controls engineer, machine learning engineer, robotics engineer, or systems engineer.
Career Outcomes:
Graduates are well-prepared to contribute to the development and implementation of innovative robotic and autonomous systems. They have the skills and knowledge to work in research, development, design, or management roles. Other:
Arizona State University: A Comprehensive Overview
Overview:
Arizona State University (ASU) is a top-ranked research university located in the greater Phoenix metropolitan area. It is known for its innovative approach to education, offering a wide range of undergraduate and graduate programs across various disciplines. ASU is recognized for its commitment to inclusivity, serving learners at all stages of life and fostering a diverse and welcoming community.
Services Offered:
ASU provides a comprehensive range of services to support student success, including:
Academic Support:
Tutoring, advising, and academic success resources.Financial Aid:
Scholarships, financial aid programs, and tuition assistance.Student Life:
Housing and dining, clubs and activities, health and wellness services, and transportation.Career Services:
Job and career resources, internship opportunities, and career counseling.Student Life and Campus Experience:
ASU offers a vibrant and engaging campus experience with a strong sense of community. Students can participate in a wide array of clubs, organizations, and events, fostering personal growth and development. The university's diverse student body creates a rich cultural environment, promoting global perspectives and intercultural understanding.
Key Reasons to Study There:
Top-Ranked Programs:
ASU boasts numerous top-ranked programs, including 82 programs ranked in the top 25 nationally, with 37 in the top 10.Innovative Learning Environment:
ASU embraces a flexible and personalized approach to learning, allowing students to customize their academic journey.World-Class Faculty:
Students benefit from instruction led by renowned professors and researchers, many of whom are leaders in their fields.Global Impact:
ASU is consistently ranked among the top universities for global impact, demonstrating its commitment to addressing global challenges.Diverse and Inclusive Community:
ASU fosters a welcoming and inclusive environment, embracing students from all backgrounds and promoting a sense of belonging.Academic Programs:
ASU offers over 800 degree programs across a wide range of disciplines, including:
Undergraduate:
More than 400 undergraduate degrees in fields such as engineering, journalism, business, sustainability, nursing, education, and more.Graduate:
Over 450 graduate degrees, including master's and doctoral programs.Other:
ASU is known for its commitment to research and innovation, with a strong focus on addressing real-world challenges. The university is also a leader in sustainability, promoting environmental responsibility and social justice.
Entry Requirements:
Domestic Students:
- Bachelor's or master's degree in engineering, physical sciences, mathematics, or a similar field from a regionally accredited U.S. institution.
- Minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.
International Students:
- Equivalent of a U.S. bachelor's degree from an internationally recognized institution.
- Minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.
- Proof of English proficiency (see Language Proficiency Requirements below).
Language Proficiency Requirements:
For non-native English speakers:
- TOEFL: minimum score of 80 (internet-based) or 550 (paper-based)
- IELTS: minimum score of 6.5
- PTE Academic: minimum score of 53
- Duolingo English Test: minimum score of 105
- Applicants whose native language is not English must provide proof of English proficiency regardless of their current residency.
- Applicants who do not meet the minimum GPA requirements may still be considered if they have demonstrated aptitude through professional experience or additional post-baccalaureate education.
