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: 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.

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+)