DC

Master's in AI
On-Campus, Online

The Catholic University of America

MS in Artificial Intelligence

  • Washington, D.C.
About This Program

This graduate program provides advanced technical skills for designing and implementing intelligent agents and autonomous systems.

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What You'll Learn

Students gain deep understanding of machine learning, computer vision, and robotics to solve complex, real-world engineering problems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure features advanced AI coursework, research-informed projects, and a capstone or internship option for professional preparation.
Typical Course Topics
1. Machine Learning Fundamentals 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. AI Ethics and Responsible AI 6. Reinforcement Learning and Autonomous Systems
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related technical field, with a minimum 3.0 GPA. Prior experience with programming, linear algebra, and calculus is typically required or strongly recommended.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree in a technical field
• GRE/GMAT: Optional (not required)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3 (preferably from academic or professional references in technical fields)
• 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

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI/ML Engineer: $120,000 Machine Learning Engineer: $125,000 AI Research Scientist: $130,000 Data Scientist (AI-focused): $115,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. AI Solutions Architect 4. Data Scientist (AI/ML Specialization)
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, OpenAI, Amazon, Meta, IBM, and government agencies like DARPA and the National Institutes of Health.
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Program Details
Duration
  • 1.5 Year
Tuition
  • 79,650
Format
On-Campus, Online
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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