University of Washington

How this program compares

University of Washington's Online MS in Artificial Intelligence & Machine Learning for Engineering lists about $40.4K total tuition — roughly 6% below the $42.9K AI master's average (60th 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 engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework in linear algebra, calculus, and statistics.

About This Program

This online master's program enables engineers to leverage AI and machine learning tools to solve complex technical challenges across diverse engineering disciplines. Most students complete it in about 2.5 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 57% of the Washington programs in our data, where typical tuition runs near $51.6K.

Graduates frequently move into roles such as Product Analyst, with reported salaries around $140,000.

Build and deploy machine learning models for engineering applications.

Budget planners should note $40.4K estimated total tuition (60th percentile among AI master's programs, below the $42.9K average). That puts it in the mid-range on price among comparable programs.

Career Outcomes

The Online MS in Artificial Intelligence & Machine Learning for Engineering at University of Washington (Seattle, Washington) is oriented toward Product Analyst hiring, with alumni reporting pay near $140,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Engineer
• 3. Data Science Engineer
• 4. AI Systems Architect

What You'll Learn

• Build and deploy machine learning models for engineering applications.
• Apply deep learning techniques to real-world problems in AI systems.
• Analyze large-scale data using statistical methods and algorithms.
• Design AI solutions considering ethical and societal impacts.

Curriculum Highlights

The structure includes core AI and machine learning coursework combined with discipline-specific modules like dynamic systems and systems operations.

Top Employers

Top employers include Amazon, Microsoft, Google, and engineering firms like Boeing and Tesla.

Admissions

Admission to University of Washington's Online MS in Artificial Intelligence & Machine Learning for Engineering 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