WA

Master's in AI
On-Campus, Online

City University of Seattle | 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
  • Design and implement machine learning models for real-world applications
  • Develop deep neural networks for pattern recognition and prediction
  • Apply natural language processing techniques to text and speech data
  • Build ethical AI systems addressing bias and societal impacts
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 focusing on machine learning, deep learning, natural language processing, computer vision, and AI system design.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Natural Language Processing 4. Computer Vision 5. Algorithms for AI 6. AI Ethics and Governance
Program Specializations:
Deep Learning
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.
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.

Check Application Deadlines
Career Opportunities in AI

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

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Systems Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, and NVIDIA.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
$ 34,905
Format
On-Campus, Online
Specializations
Deep Learning
MLOps/AI Engineering
Official Resources
Program Website
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