Typical admitted student: Applicants must hold a bachelor's degree in engineering, computer science, mathematics, or a related field with a minimum GPA of 3.0. Prerequisites include programming, data structures, linear algebra, and calculus; GRE is optional.

About This Program

A research-oriented degree focusing on the internal algorithms and physical systems used in self-driving cars, drones, and industrial robots for real-time operations.

Career Outcomes

Advance as Robotics Engineer in Autonomous Vehicles with machine learning expertise

1. Robotics Software Engineer
2. Autonomous Systems Engineer
3. AI Robotics Researcher
4. Drone Systems Developer

What You'll Learn

Design and control algorithms for robotic systems and autonomous vehicles
Implement machine learning models for perception and decision-making in dynamic environments
Develop sensor fusion techniques for real-time navigation and obstacle avoidance
Integrate AI-driven autonomy in multi-agent robotic systems

Curriculum Highlights

Requires 32 credit hours, including core engineering analysis and control systems courses, supplemented by electives in machine learning and computer vision.

Top Employers

Top employers include Boeing, Lockheed Martin, Boston Dynamics, and NASA.

Admissions

Applicants must hold a bachelor's degree in engineering, computer science, mathematics, or a related field with a minimum GPA of 3.0. Prerequisites include programming, data structures, linear algebra, and calculus; GRE is optional.

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+)

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