WA

Master's in AI
Online

City University of Seattle

Online MS in Artificial Intelligence

  • Seattle
About This Program

This graduate program provides the theoretical foundation and practical expertise needed to deploy ethical, human-centered artificial intelligence applications in real-world scenarios.

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What You'll Learn

Students gain skills in deep learning, agent-based systems, natural language processing, and ethical problem-solving within the emerging field of AI.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Core requirements include AI programming, discrete math, algorithms, cloud computing, and an applied capstone project that simulates industry experience.
Typical Course Topics
1. Machine Learning Foundations and Algorithms 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. AI Ethics and Governance Frameworks 5. Autonomous Systems and Agentic AI 6. Data Analytics and Business Transformation
Program Specializations:
Machine Learning
Natural Language Processing (NLP)
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 GPA of 3.0. Prior coursework in programming, linear algebra, and statistics is typically required or recommended.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree in technical field
• GRE/GMAT: Optional (may be waived with strong academic background)
• 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

Thrive as AI Engineer in Cross-Industry AI with natural language processing expertise

Estimated Industry Salary
AI/Machine Learning Engineer: $120,000 Data Scientist: $115,000 AI Research Scientist: $125,000 ML Operations Specialist: $110,000
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. Data Scientist 4. AI Strategy Consultant
Top AI Employers (Industry-Wide):
Top employers in AI include Google, Microsoft, Amazon, Meta, OpenAI, IBM, and major financial institutions and technology consulting firms.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 29,640
Format
Online
Specializations
Machine Learning
Natural Language Processing (NLP)
Official Resources
Program Website
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