WA

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

University of Washington

MS in Artificial Intelligence and 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. Fundamentals of Artificial Intelligence 2. Introduction to Machine Learning 3. Deep Learning 4. Computer Vision and Image Processing 5. Robotics Algorithms 6. Reinforcement Learning
Program Specializations:
Machine Learning
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 field with a minimum GPA of 3.0 is required, along with prerequisite knowledge in programming, algorithms, and statistics. Relevant work experience or research in AI/ML is preferred but not mandatory.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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

Excel as Robotics Engineer in Engineering AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI/ML Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI/ML Engineer 2. Robotics Engineer 3. Computer Vision Specialist 4. Machine Learning Research Engineer
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and engineering firms such as Boeing and Lockheed Martin.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 40,375
Format
On-Campus, Online, Hybrid
Specializations
Machine Learning
Official Resources
Program Website
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