The University of Washington and Santa Clara University both offer STEM information-focused master’s programs on the West Coast with strong AI exposure, but Washington provides multiple residential/online pathways while Santa Clara is closely tied to the Silicon Valley market.
| Factor | Washington | Santa Clara |
|---|---|---|
| Degree | MS Information Management | MS Information Systems |
| Length | Track-dependent; about 1–2 years | Minimum 48 quarter units; commonly about 2 years |
| Format | Residential and online pathways | Silicon Valley campus |
| STEM | Yes | Yes |
| AI Exposure | High | Very High |
| Published tuition | $1,177 per credit; total varies by track | $1,436 per unit |
| Career evidence | 93% of alumni respondents reported full-time employment | 96% employed within six months after the 2021 academic year; older cohort |
Curriculum difference
Washington embeds AI modules in all four core courses and offers AI-focused coursework alongside analytics, policy/ethics and leadership. Santa Clara requires NLP & AI and offers electives in generative AI, agentic AI, deep learning and cloud-related study.
Prerequisites
Washington does not require a specific undergraduate major or prerequisite coursework for its early-career pathway. Santa Clara requires one college-level programming course before enrollment.
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University of Washington profile → | Santa Clara profile →
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Based on program data verified by MSITM.com in September 2026.
