George Mason University
Online MS in Computer Science – AI and Databases
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $28.5K in total tuition, the Online MS in Computer Science – AI and 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: Requires a bachelor's degree in computer science or related field with a minimum 3.0 GPA, programming experience, and foundational knowledge in algorithms and data structures. GRE is often optional.
About This Program
This online program dives deep into technical computer science concepts, preparing students to solve complex software engineering challenges with a focus on AI and databases. Coursework concentrates on MLOps/AI Engineering and AI Engineering / Applied AI. 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.
Excel as Machine Learning Engineer in Cross-Industry AI with mlops/ai engineering expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $115,000.
Career Outcomes
Excel as Machine Learning Engineer in Cross-Industry AI with mlops/ai engineering expertise
- 1. AI/ML Engineer
- 2. Database Engineer
- 3. Data Scientist
- 4. Machine Learning Specialist
What You'll Learn
- Develop AI models for pattern recognition and predictive analytics
- Design scalable database systems for efficient data storage and retrieval
- Apply machine learning techniques to real-world datasets
- Analyze ethical implications of AI in data-driven applications
Curriculum Highlights
Students complete 30 credits of graduate coursework, including core requirements in computer systems and algorithms, plus specialized electives in deep learning and advanced database management.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and government agencies focused on data and AI applications.
Admissions
Requires a bachelor's degree in computer science or related field with a minimum 3.0 GPA, programming experience, and foundational knowledge in algorithms and data structures. GRE is often optional.
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+)
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