MasterOn-Campus, Online, HybridFlexible

Duke University

MS in Autonomous, Intelligent Systems and Machines

Durham, North Carolina1.5 $34K total tuition
Visit Program Website ↗

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Est. Salary$120,000
Job Growth+23%
Top RoleAI Engineer
FormatOn-Campus, Online, Hybrid

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$34K total
Format
On-Campus, Online, Hybrid
Schedule
Flexible
GRE / GMAT
Required
Concentrations
AI Ethics/Policy, MLOps/AI Engineering

Typical admitted student: A bachelor's degree in computer science, electrical engineering, mathematics, or a related field is required, along with a minimum GPA of 3.0 and programming experience in languages like Python. GRE scores are often optional, with strong emphasis on relevant coursework in AI, probability, and statistics.

About This Program

This research-oriented Master of Science focuses on the theoretical foundations of robotics and intelligent systems, preparing students for advanced technical roles or doctoral studies in the field.

Career Outcomes

Lead as AI Engineer in Cross-Industry AI with machine learning expertise

  • 1. Robotics Engineer
  • 2. AI Systems Architect
  • 3. Autonomous Vehicle Specialist
  • 4. Machine Learning Engineer

What You'll Learn

  • Design and control autonomous systems using AI algorithms
  • Implement machine learning models for robotic perception and decision-making
  • Develop intelligent machines for real-world applications like navigation and manipulation
  • Optimize AI systems for edge computing and multi-agent coordination

Curriculum Highlights

The flexible curriculum includes cornerstone project-based learning, advanced departmental courses in mechanical engineering, mathematics or statistics requirements, and a final research project or thesis.

Top Employers

Top employers include tech leaders like Google, Tesla, Boston Dynamics, and NVIDIA, along with aerospace firms and research labs.

Admissions

A bachelor's degree in computer science, electrical engineering, mathematics, or a related field is required, along with a minimum GPA of 3.0 and programming experience in languages like Python. GRE scores are often optional, with strong emphasis on relevant coursework in AI, probability, and statistics.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Optional
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.

Visit Official Program Page ↗Compare Programs