George Mason University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework such as calculus, linear algebra, and statistics.

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.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Software Developer

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Develop deep neural networks for complex data processing
• Apply natural language processing techniques to text and speech data
• Build AI systems adhering to ethical principles and bias mitigation

Curriculum Highlights

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.

Top Employers

Top employers include Google, Microsoft, Amazon, and Meta.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework such as calculus, linear algebra, and statistics.

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+)