Duke University

How this program compares

At an estimated $33.9K in total tuition, the MS in Autonomous, Intelligent Systems and Machines sits roughly 20% below the $42.4K average for AI master's programs in our database — placing it in the 53rd percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

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. Coursework concentrates on AI Ethics/Policy and MLOps/AI Engineering. Most students complete it in about 1.5 years.

Estimated total tuition is $33.9K, below the $42.4K average for AI master's programs in our database and in the 53rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Lead as AI Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

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+)