George Mason University

How this program compares

At an estimated $28.5K in total tuition, the Online Master of Computer Science – AI & Databases sits roughly 33% below the $42.4K average for AI master's programs in our database — placing it in the 44th percentile on cost among the 531 we track at this level. It is one of the 57% 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.

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.

Position as AI Engineer in Cross-Industry AI with mlops/ai engineering expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $125,000.

Career Outcomes

Position as AI Engineer in Cross-Industry AI with mlops/ai engineering expertise

• 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

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.

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 (many programs waive for strong academic records)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)