VA

Master's in AI
On-Campus

George Mason University | MS in Artificial Intelligence

  • Fairfax
About This Program

This stand-alone master’s degree provides a comprehensive foundation in AI principles, preparing students to develop, implement, and optimize responsible AI-driven solutions for various industries.

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What You'll Learn

  • Design and implement machine learning models for predictive analytics

  • Develop deep neural networks for complex data processing
  • Apply natural language processing techniques to text and speech data
  • Build AI systems adhering to ethical principles and bias mitigation

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Artificial Intelligence is a two-year graduate program focused on machine learning, neural networks, deep learning algorithms, and AI applications in real-world problem-solving.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. AI Ethics and Responsible AI
Program Specializations:
AI Ethics/Policy
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework such as calculus, linear algebra, and statistics.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Advance as AI Research Scientist in Cross-Industry AI with ai ethics/policy expertise

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
0.23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Software Developer
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 1.0 Year
Tuition
$ 28,500
Format
On-Campus
Specializations
AI Ethics/Policy
MLOps/AI Engineering
Official Resources
Program Website
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