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

About This Program

A professional master's program that prepares students to overcome technical challenges in core AI frameworks, signal processing, and computer vision systems.

Career Outcomes

Thrive as Computer Vision Engineer in Engineering AI with machine learning expertise

1. Computer Vision Engineer
2. Robotics Controls Engineer
3. AI Systems Architect
4. Machine Learning Specialist for Autonomous Systems

What You'll Learn

Design and implement computer vision algorithms for image recognition and object detection.
Apply deep learning models including CNNs to process visual data.
Develop AI-based control systems for robotics and autonomous systems.
Optimize reinforcement learning techniques for dynamic control environments.

Curriculum Highlights

This 30-credit-hour program includes core courses in digital signal processing, control systems, and machine learning, with access to state-of-the-art labs.

Top Employers

Top employers include tech companies like Google, NVIDIA, Tesla, and Boston Dynamics.

Admissions

A bachelor's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with coursework in programming, linear algebra, and calculus. Relevant experience in AI or machine learning is preferred.

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