University of Washington
MS in Information Management (MSIM) – Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $73.6K in total tuition, the MS in Information Management (MSIM) – Artificial Intelligence sits about 73% above the $42.4K average for AI master's programs in our database — placing it in the 87th 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.
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.
Estimated total tuition is $73.6K, above the $42.4K average for AI master's programs in our database and in the 87th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Lead as Product Analyst in Business AI with courses expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $120,000.
Career Outcomes
Lead as Product Analyst in Business AI with courses expertise
- 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
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 92+ / IELTS 7.0+)
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