George Mason University

George Mason University

About This Program

This stand-alone master's degree provides a comprehensive foundation in AI principles, preparing students to develop, implement, and optimize responsible AI-driven solutions for various industries.

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What You'll Learn

Students learn to train and fine-tune deep learning models, manage AI systems engineering pipelines, and evaluate AI solutions against safety and risk frameworks.

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 George Mason University, visit their official program website.

Typical Course Topics

                   The 30-credit program requires core coursework in machine learning, deep learning, and planning, with thematic tracks in AI policy, scalable infrastructure, and use-inspired AI.

Full-Time, Part-Time

Program Specializations:

AI Ethics/Policy, MLOps/AI Engineering

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

Admissions

Careers

Advance as AI Research Scientist in Cross-Industry AI with ai ethics/policy expertise

Program Details

Duration

1 Years

Tuition

28500

View funding options →

Format

On-Campus

Specializations

AI Ethics/Policy, MLOps/AI Engineering

Official Resources

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