AZ

Master's in AI
On-Campus

Arizona State University

MS in Robotics and Autonomous Systems – Artificial Intelligence

  • Tempe
About This Program

A multidisciplinary master’s program that provides a solid theoretical and practical background in designing intelligent agents that perceive their environment and take actions to achieve goals.

Student Reviews
What You'll Learn

Students focus on the algorithmic aspects of robotics, including statistical machine learning, computer vision, natural language processing, knowledge retrieval, and formal planning methods.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The curriculum includes core courses in linear algebra and robotic systems modeling, concentration courses in AI, and a choice of thesis or applied project.
Typical Course Topics
1. Machine Learning and Deep Learning 2. Robotic Control Systems and Dynamics 3. Autonomous Systems and Decision Making 4. Computer Vision and Perception 5. Human-Machine Interaction 6. AI Planning and Natural Language Processing
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in engineering, science, mathematics, or a related field with a minimum GPA of 3.0.[1] International students are required to demonstrate English proficiency through standardized tests such as TOEFL (80+), IELTS (6.5+), PTE (60+), or Duolingo (105+).[3
Academic Requirements (Typical)

β€’ Degree Required: Bachelor’s degree in engineering, science, mathematics, or related field
β€’ GRE/GMAT: Not specified as required; check with program for current policy
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Letter of intent or written statement required
β€’ Letters of Recommendation: Typically 2–3 letters
β€’ Resume: Professional rΓ©sumΓ© or curriculum vitae required
β€’ Transcripts: Official transcripts required
β€’ Portfolio: Portfolio required
β€’ Application Fee: $115[3]

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Career Opportunities in AI

Excel as Robotics Engineer in Engineering AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Robotics Engineer / AI Specialist: $110,000 Autonomous Systems Engineer: $115,000 Machine Learning Engineer: $120,000 Controls Engineer: $105,000
Total compensation (entry to mid-level)
AI Job Growth
13.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Engineer 2. Autonomous Systems Engineer 3. Machine Learning Engineer 4. AI Research Scientist
Top AI Employers (Industry-Wide):
Top employers for robotics and AI specialists include Tesla, Boston Dynamics, NVIDIA, aerospace companies like Boeing and Lockheed Martin, and major technology firms such as Google, Amazon Robotics, and Microsoft.
Program Details
Duration
  • 2 Year
Tuition
  • 27,720
Format
On-Campus
Specializations
Machine Learning