WA

Master's in AI
On-Campus, Online, Hybrid

University of Washington

MS in Artificial Intelligence & Machine Learning for Engineering

  • Seattle
About This Program

This master’s program enables engineers to leverage AI and machine learning tools to solve complex technical challenges across diverse engineering disciplines.

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What You'll Learn

Students build foundational skills in math and coding while learning to choose and implement appropriate AI methods for specific engineering applications.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure includes core AI and machine learning coursework combined with discipline-specific modules like dynamic systems and systems operations.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning 3. AI Algorithms and Data Mining 4. Statistical Machine Learning 5. Machine Learning for Engineering Applications 6. AI Capstone Project
Program Specializations:
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework in linear algebra, calculus, and statistics.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 92+ / IELTS 7.0+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Position as Machine Learning Engineer in Engineering AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $145,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Systems Engineer 3. Data Science Engineer 4. AI Research Engineer
Top AI Employers (Industry-Wide):
Top employers include tech giants like Amazon, Microsoft, Google, and engineering firms such as Boeing and Lockheed Martin.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 40,375
Format
On-Campus, Online, Hybrid
Specializations
Computer Vision
Official Resources
Program Website
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