Stanford University

Stanford University

About This Program

This graduate specialization focuses on the computational aspects of image and video processing, computer graphics, and computer vision.

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What You'll Learn

Students learn to develop algorithms for 3D modeling, image recognition, and the synthesis of realistic visual environments.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:

Visit Official Program Website

Typical Curriculum Structure

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by Stanford University, visit their official program website.

Typical Course Topics

                   The structure covers computer graphics, geometry processing, computer vision, and the application of machine learning to visual data.

Full-Time

Program Specializations:

Deep Learning, Computer Vision

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

Excel as Deep Learning Engineer in Cross-Industry AI with computer vision expertise

Program Details

Duration

2 Years

Tuition

45180

View funding options →

Format

On-Campus, Online

Specializations

Deep Learning, Computer Vision

Official Resources

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