Typical admitted student: A master's degree in a related field such as electrical engineering, computer science, or mechanical engineering is preferred, along with a strong GPA (3.5+), research experience, and relevant technical background in programming, linear algebra, and control theory.

About This Program

This doctoral program focuses on the study of intelligent information systems that learn from and interact with complex, uncertain environments.

Career Outcomes

Lead advanced AI Research Scientist in Cross-Industry AI through robotics

1. Robotics Research Scientist
2. Autonomous Systems Engineer
3. Control Systems Professor
4. AI Robotics Lead

What You'll Learn

Design and implement control algorithms for autonomous robots
Develop perception systems using sensors and machine learning
Optimize motion planning for single and multi-robot environments
Apply reinforcement learning to intelligent agent decision-making

Curriculum Highlights

Requirements include core coursework in linear systems and statistical learning, a breadth requirement across multiple CS areas, and an original research dissertation.

Top Employers

Top employers include NASA, Boston Dynamics, Google DeepMind, and defense contractors like Northrop Grumman.

Admissions

A master's degree in a related field such as electrical engineering, computer science, or mechanical engineering is preferred, along with a strong GPA (3.5+), research experience, and relevant technical background in programming, linear algebra, and control theory.

Application Materials

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

Academic Requirements

Degree Required: Master's degree preferred
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