George Mason University
MS in Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $28.5K in total tuition, the MS in Artificial Intelligence sits roughly 33% below the $42.4K average for AI master's programs in our database β placing it in the 44th percentile on cost among the 531 we track at this level.
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. Coursework concentrates on AI Ethics/Policy and MLOps/AI Engineering. Most students complete it in about 1 year.
Estimated total tuition is $28.5K, below the $42.4K average for AI master's programs in our database and in the 44th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Advance as AI Research Scientist in Cross-Industry AI with ai ethics/policy expertise Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $120,000.
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: 2β3
- 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+)
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