Seattle University

How this program compares

Seattle University's MS in Artificial Intelligence (Online) lists about $51.1K total tuition — about 19% above the $42.9K AI master's average (70th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

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.

It is one of 14 AI-related programs we track in Washington, of which about 57% offer an online option. On price, it comes in higher than about 71% of the Washington programs in our data, where typical tuition runs near $51.6K.

Graduates frequently move into roles such as AI Ethics Specialist, with reported salaries around $120,000.

Design and implement machine learning models for predictive analytics and decision-making.

Estimated total tuition is $51.1K, above the $42.9K average for AI master's programs in our database and in the 70th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

Seattle University positions this master track for AI Ethics Specialist careers — typical offers cluster around $120,000. Its focus on AI Ethics/Policy and Generative AI and LLMs maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Seattle University's MS in Artificial Intelligence (Online) generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions