George Mason University

How this program compares

Budget-wise, $28.5K puts this master's program at the 41st percentile on cost — roughly 34% below the $42.9K average across 394 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, mathematics, engineering, or a related field is required, with a minimum GPA of 3.0. Applicants should have a strong foundation in programming, discrete mathematics, and data structures; some programs may require GRE scores, though many are moving toward GRE-optional policies.

About This Program

This fully online master's program provides a rigorous foundation in advanced computing, specializing in the creation of intelligent systems and robust database management solutions. Coursework concentrates on MLOps/AI Engineering and Machine Learning. Most students complete it in about 1.5 years.

Design, implement, and optimize machine learning models for real-world applications.

Estimated total tuition is $28.5K, below the $42.9K average for AI master's programs in our database and in the 41st percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

It is one of 14 AI-related programs we track in Virginia, of which about 71% offer an online option. On price, it comes in higher than about 64% of the Virginia programs in our data, where typical tuition runs near $32.8K.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $125,000.

Career Outcomes

The Online Master of Computer Science – AI & Databases at George Mason University (Fairfax, Virginia) is oriented toward AI Engineer hiring, with alumni reporting pay near $125,000. Its focus on MLOps/AI Engineering and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 21% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Database Architect
• 4. Data Engineer

What You'll Learn

• Design, implement, and optimize machine learning models for real-world applications
• Architect scalable database systems and manage complex data workflows
• Apply algorithmic problem-solving to emerging AI and computational challenges
• Develop expertise in neural networks, AI ethics, and responsible AI deployment

Curriculum Highlights

The 10-course curriculum features core requirements in mathematical foundations and algorithms, with advanced electives in artificial intelligence, database systems, and software engineering.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, IBM, and major financial institutions and healthcare organizations leveraging AI and data infrastructure.

Admissions

Admission to George Mason University's Online Master of Computer Science – AI & Databases generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions