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: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, probability, and calculus.

About This Program

This program offers a deep foundation in computer science while allowing students to concentrate on the latest developments in machine learning and artificial intelligence.

Career Outcomes

Thrive as Machine Learning Engineer in Cross-Industry AI with generative ai and llms expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. NLP Specialist

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Apply deep learning techniques to image and sequence data
• Evaluate and optimize algorithms for real-world AI systems
• Develop reinforcement learning agents for decision-making tasks

Curriculum Highlights

The structure includes required computer science core courses such as algorithms and systems programming, with advanced concentration electives in machine learning and data mining.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and government research agencies like DARPA.

Admissions

A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, probability, and calculus.

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+)