M.S. in Robotics and Autonomous Systems (Artificial Intelligence)

ASU - Tempe

 

INTAKE: August

Program Overview

Intake : Jan & Aug

Arizona State University offers a Master of Science in Robotics and Autonomous Systems with a concentration in Artificial Intelligence. This program is designed to equip students with advanced knowledge and skills in the field of robotics and artificial intelligence, which are critical components of many modern technological advancements.

The program focuses on developing students' understanding of the theories and technologies that underpin the development of autonomous systems and artificial intelligence. Through the program, students will gain practical, hands-on experience in designing, implementing, and testing autonomous systems and artificial intelligence solutions.

The course is taught by leading experts in the field of robotics and artificial intelligence, who have extensive research and industry experience. The faculty members are committed to providing students with a challenging and engaging learning experience that prepares them for a successful career in the field.

The M.S. in Robotics and Autonomous Systems with a concentration in Artificial Intelligence comprises of 30 credit hours of coursework. The coursework is divided into three main areas: core courses, concentration courses, and electives.

The core courses cover the fundamental principles of robotics and autonomous systems, including system dynamics, control, sensing, and perception. The concentration courses provide students with in-depth knowledge of artificial intelligence, including machine learning, computer vision, and natural language processing. The elective courses allow students to tailor their program to their individual interests and career goals, with options such as robotics systems, mobile robotics, and intelligent transportation systems.

Students will also have the opportunity to work on practical projects that integrate robotics and autonomous systems with artificial intelligence. These projects provide students with hands-on experience in designing, implementing, and testing real-world autonomous systems.

Pollster Education

Location

ASU - Tempe

Pollster Education

Score

IELTS : 7

Pollster Education

Tuition Fee

USD 35280

To apply for the Master of Science in Robotics and Autonomous Systems program at ASU, Indian students must fulfill the following entry requirements:

  1. Educational Qualification: Indian students must have a bachelor's degree in a related field of study from a recognized institution. A degree in electrical engineering, computer engineering, mechanical engineering, or computer science is preferred.

  2. Minimum Grade Point Average (GPA): Indian students must have a minimum GPA of 3.0 on a 4.0 scale or equivalent. If the student's undergraduate degree was not taught in English, they must also provide proof of English language proficiency.

  3. Standardized Test Scores: Indian students are required to take the Graduate Record Examination (GRE) and submit their scores as part of their application. There is no minimum score requirement, but a higher score will increase the chances of admission. International students whose native language is not English are also required to take the Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS) and submit their scores.

  4. Letters of Recommendation: Indian students are required to provide three letters of recommendation from individuals who can attest to their academic and professional abilities.

  5. Statement of Purpose: Indian students must provide a statement of purpose that outlines their academic and professional goals, research interests, and reasons for applying to the Master of Science in Robotics and Autonomous Systems program at ASU.

  6. Resume/CV: Indian students must submit a current resume or CV that highlights their academic and professional accomplishments.

Arizona State University (ASU) offers several scholarships to international students, including those from India, to help them fund their education. The scholarship opportunities available to Indian students pursuing a Master of Science in Robotics and Autonomous Systems (Artificial Intelligence) at ASU are as follows:

  1. ASU Scholarships: ASU offers a variety of scholarships to international students, including the Global Excellence Scholarship, which provides awards ranging from $5,000 to $25,000 per year. To be considered for this scholarship, Indian students must have a minimum GPA of 3.0 and submit their application by the priority deadline.

  2. Ira A. Fulton Schools of Engineering Scholarships: The Ira A. Fulton Schools of Engineering at ASU offer several scholarships for students pursuing a Master of Science in Robotics and Autonomous Systems (Artificial Intelligence). These scholarships include the Fulton Undergraduate Research Initiative (FURI), which provides funding for undergraduate research, and the Master's Opportunity for Research in Engineering (MORE), which provides funding for graduate research.

  3. Private Scholarships: Indian students can also explore private scholarship opportunities offered by organizations such as the Indian Council for Cultural Relations (ICCR) and the Tata Education and Development Trust. These scholarships are awarded based on merit and financial need and can cover the cost of tuition and living expenses.

To be considered for any of the above scholarships, Indian students must first apply for admission to ASU's Master of Science in Robotics and Autonomous Systems (Artificial Intelligence) program and submit all required application materials by the deadline. They may also be required to submit additional scholarship-specific materials, such as essays or recommendation letters.

Indian students may also be eligible for financial aid in the form of grants, loans, or work-study programs. ASU's Office of Financial Aid provides guidance and assistance in navigating the financial aid process and finding funding opportunities that match each student's unique circumstances and needs.

A Master of Science in Robotics and Autonomous Systems with a concentration in Artificial Intelligence from Arizona State University (ASU) offers graduates a wide range of career opportunities in various industries. The program is designed to prepare students for advanced careers in research and development of autonomous systems, artificial intelligence, machine learning, computer vision, and related areas.

Here are some of the career prospects for graduates of the M.S. in Robotics and Autonomous Systems (Artificial Intelligence) program at ASU:

  1. Robotics Engineer: Robotics engineers are responsible for designing, developing, and testing robots and automated systems. They work on developing robots that can perform various tasks like assembly, packaging, transportation, and inspection. With the growing demand for automation in various industries, the demand for robotics engineers is expected to grow in the coming years.

  2. Machine Learning Engineer: Machine learning engineers are responsible for designing, building, and maintaining machine learning models and systems. They work on developing algorithms that enable machines to learn from data and make predictions. With the growing demand for data-driven solutions in various industries, the demand for machine learning engineers is expected to grow in the coming years.

  3. Artificial Intelligence Researcher: Artificial intelligence researchers are responsible for conducting research on artificial intelligence, developing new algorithms, and exploring new applications of AI. They work on developing intelligent systems that can perform various tasks like image recognition, natural language processing, and decision-making. With the growing demand for intelligent systems in various industries, the demand for AI researchers is expected to grow in the coming years.

  4. Computer Vision Engineer: Computer vision engineers are responsible for developing algorithms and systems that enable machines to interpret and understand visual data. They work on developing systems that can recognize objects, detect patterns, and make decisions based on visual data. With the growing demand for computer vision in various industries, the demand for computer vision engineers is expected to grow in the coming years.

  5. Research Scientist: Research scientists are responsible for conducting research in various areas of science and technology. They work on developing new technologies, discovering new materials, and exploring new applications of science and technology. With the growing demand for innovation in various industries, the demand for research scientists is expected to grow in the coming years.

  6. Autonomous Vehicle Engineer: Autonomous vehicle engineers are responsible for designing, developing, and testing autonomous vehicles like self-driving cars, drones, and robots. They work on developing algorithms and systems that enable these vehicles to navigate, detect obstacles, and make decisions in real-time. With the growing demand for autonomous vehicles in various industries, the demand for autonomous vehicle engineers is expected to grow in the coming years.

With the growing demand for automation, intelligent systems, and autonomous vehicles, the demand for professionals with expertise in robotics and artificial intelligence is expected to grow in the coming years. Graduates of this program are well-equipped to meet the demands of the rapidly changing job market and build successful careers in the field of robotics and autonomous systems.

Graduates may also choose to pursue further education, such as a Ph.D. in Robotics and Autonomous Systems or a related field. The program provides a solid foundation for students interested in pursuing advanced research in robotics and artificial intelligence.


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