MasterOn-CampusFull-Time

Arizona State University

MS in Robotics and Autonomous Systems - Artificial Intelligence

Tempe, Arizona2 years$28K total tuition
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How this program compares

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Est. Salary$110,000 Autonomous Systems Engineer
Job Growth+13%
Top RoleRobotics Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree in engineering, science, mathematics, or related field
Duration
2 years
Est. Tuition
$28K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: 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

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.

Career Outcomes

Excel as Robotics Engineer in Engineering AI with machine learning expertise

  • 1. Robotics Engineer
  • 2. Autonomous Systems Engineer
  • 3. Machine Learning Engineer
  • 4. AI Research Scientist

What You'll Learn

  • Design, develop, and control robotic platforms and autonomous systems using theoretical and practical knowledge
  • Apply machine learning and artificial intelligence techniques to robotics and real-world autonomous applications
  • Integrate sensing technologies, perception systems, and decision-making algorithms in intelligent robotic systems
  • Develop solutions for interdisciplinary applications spanning manufacturing, transportation, aerospace, defense, and healthcare

Curriculum Highlights

The curriculum includes core courses in linear algebra and robotic systems modeling, concentration courses in AI, and a choice of thesis or applied project.

Top Employers

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.

Admissions

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

Application Materials

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

Academic Requirements

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

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