Typical admitted student: A bachelor's degree in computer science, electrical engineering, robotics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python/C++ and coursework in linear algebra, calculus, and machine learning.

About This Program

This multidisciplinary program focuses on the science and technology of robotics, with a specialized emphasis on computer vision and perception.

Career Outcomes

Thrive as Robotics Engineer in Engineering AI with computer vision expertise

1. Robotics Software Engineer
2. Computer Vision Specialist
3. Autonomous Systems Developer
4. Perception Algorithm Engineer

What You'll Learn

Design and implement computer vision pipelines for robotic perception.
Apply deep learning models to process visual data in dynamic environments.
Develop algorithms for robot localization, mapping, and scene understanding.
Integrate vision-based systems with motion planning and control for autonomy.

Curriculum Highlights

Foundational requirements include AI, perception, and control, with core specialization courses in machine perception and computational photography.

Top Employers

Top employers include Boston Dynamics, Google DeepMind, NVIDIA, and Amazon Robotics.

Admissions

A bachelor's degree in computer science, electrical engineering, robotics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python/C++ and coursework in linear algebra, calculus, and machine learning.

Application Materials

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

Academic Requirements

Degree Required: Bachelor's degree
GRE/GMAT: Optional
TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)

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