MasterOnlineFlexible

City University of Seattle

Online MS in Artificial Intelligence

Seattle, Washington2 years$30K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $29.6K in total tuition, the Online MS in Artificial Intelligence sits roughly 30% below the $42.4K average for AI master's programs in our database β€” placing it in the 46th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Est. Salary$120,000 Data Scientist
Job Growth+36%
Top RoleAI Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree in technical field
Duration
2 years
Est. Tuition
$30K total
Format
Online
Schedule
Flexible
GRE / GMAT
Required
Concentrations
Machine Learning, Natural Language Processing (NLP)

Typical admitted student: 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.

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. Coursework concentrates on Machine Learning and Natural Language Processing (NLP). Most students complete it in about 2 years.

Estimated total tuition is $29.6K, below the $42.4K average for AI master's programs in our database and in the 46th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Thrive as AI Engineer in Cross-Industry AI with natural language processing expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $110,000.

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. AI Research Scientist
  • 3. Data Scientist
  • 4. AI Strategy Consultant

What You'll Learn

  • Design, build, and deploy machine learning systems and AI models for real-world applications
  • Develop expertise in natural language processing, computer vision, and autonomous decision-making systems
  • Evaluate and implement ethical governance frameworks and responsible AI principles in organizational contexts
  • Synthesize technical AI knowledge with strategic leadership to drive organizational transformation

Curriculum Highlights

Core requirements include AI programming, discrete math, algorithms, cloud computing, and an applied capstone project that simulates industry experience.

Top Employers

Top employers in AI include Google, Microsoft, Amazon, Meta, OpenAI, IBM, and major financial institutions and technology consulting firms.

Admissions

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.

Application Materials

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

Academic Requirements

  • 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+)

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