University of Washington

How this program compares

Budget-wise, $73.6K puts this master's program at the 86th percentile on cost — about 71% above the $42.9K average across 394 comparable listings. 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 a related field such as computer science, information systems, or engineering with a minimum GPA of 3.0 is required, along with demonstrated programming experience in Python or R and quantitative coursework. Relevant professional experience or prerequisites in statistics and data structures is preferred.

About This Program

This specialization prepares leaders to manage the responsible adoption of artificial intelligence and generative AI systems within modern organizations. Coursework concentrates on AI Ethics/Policy and AI Engineering / Applied AI. Most students complete it in about 2 years.

Graduates frequently move into roles such as Product Analyst, with reported salaries around $120,000.

Technical foundations of AI systems including neural architectures and machine learning methodologies.

Estimated total tuition is $73.6K, above the $42.9K average for AI master's programs in our database and in the 86th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

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 86% of the Washington programs in our data, where typical tuition runs near $51.6K.

Career Outcomes

The MS in Information Management (MSIM) – Artificial Intelligence at University of Washington (Seattle, Washington) is oriented toward Product Analyst hiring, with alumni reporting pay near $120,000. Its focus on AI Ethics/Policy and AI Engineering / Applied AI maps directly to how employers in business ai 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 Product Manager
• 2. Data Science Consultant
• 3. AI Ethics Specialist
• 4. Information Systems AI Architect

What You'll Learn

• Technical foundations of AI systems including neural architectures and machine learning methodologies.
• Ethical frameworks for responsible AI development and deployment.
• Cloud-based infrastructure for scaling AI models and services.
• Critical analysis of AI's societal impacts and organizational implications.

Curriculum Highlights

The program includes courses in AI foundations, governance and risk management, and the implementation of generative AI systems.

Top Employers

Top employers include tech giants like Microsoft, Amazon, Google, and consulting firms specializing in AI-driven information management.

Admissions

Admission to University of Washington's MS in Information Management (MSIM) – Artificial Intelligence generally expects a bachelor's degree. The GRE is not required 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: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions