MasterOnlinePart-Time, Flexible

Seattle University

MS in Artificial Intelligence (Online)

Seattle, Washington2 years$51K 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 $51.1K in total tuition, the MS in Artificial Intelligence (Online) sits about 20% above the $42.4K average for AI master's programs in our database β€” placing it in the 71st 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
Job Growth+23%
Top RoleAI Ethics Specialist
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
2 years
Est. Tuition
$51K total
Format
Online
Schedule
Part-Time, Flexible
GRE / GMAT
Not Required
Concentrations
AI Ethics/Policy, Generative AI and LLMs

Typical admitted student: 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; relevant work experience is often preferred for online programs.

About This Program

This flexible, fully online program prepares graduates for advanced AI roles by combining rigorous technical training with a strong focus on ethics and responsible innovation. Coursework concentrates on AI Ethics/Policy and Generative AI and LLMs. Most students complete it in about 2 years.

Estimated total tuition is $51.1K, above the $42.4K average for AI master's programs in our database and in the 71st percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Excel as AI Ethics Specialist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Ethics Specialist, with reported salaries around $120,000.

Career Outcomes

Excel as AI Ethics Specialist in Cross-Industry AI with machine learning expertise

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

What You'll Learn

  • Design and implement machine learning models for predictive analytics and decision-making.
  • Apply deep learning techniques to process images, text, and sequential data.
  • Develop natural language processing systems for language understanding and generation.
  • Evaluate AI systems for ethical implications, bias, and societal impact.

Curriculum Highlights

The multidisciplinary structure includes courses in AI governance, computer vision, and natural language processing, culminating in a three-quarter industry-partnered capstone project.

Top Employers

Top employers include Google, Amazon, Microsoft, and Meta.

Admissions

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; relevant work experience is often preferred for online programs.

Application Materials

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

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Optional or Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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