University of Washington

University of Washington

About This Program

This undergraduate pathway focuses on the intersection of computing, sensors, and data science to enable large-scale machine learning applications and systems.

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What You'll Learn

Students learn to design hardware for data collection, process and clean complex datasets, and train various supervised and unsupervised machine learning models.

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 University of Washington, visit their official program website.

Typical Course Topics

                   Core topics include signals and systems, data-driven modeling, optimization, and foundational principles of machine learning and data science.

Full-Time

Program Specializations:

Deep Learning, MLOps/AI Engineering

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

Admissions

Careers

Start MLOps Engineer career in Engineering AI with machine learning focus

Program Details

Duration

4 Years

Tuition

73560

View funding options →

Format

On-Campus

Specializations

Deep Learning, MLOps/AI Engineering

Official Resources

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