WA

Master's in ML
Online

University of Washington

Online MS in AI & ML for Engineering

  • Seattle
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.

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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 and Neural Networks 3. Supervised and Unsupervised Learning 4. Natural Language Processing (NLP) 5. Computer Vision and Image Processing 6. Reinforcement Learning and Advanced Optimization
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in engineering, computer science, mathematics, or a related technical field with a minimum GPA of 3.0. Prior coursework in linear algebra, calculus, and programming is typically required or recommended.
Academic Requirements (Typical)

• Degree Required: Master of Science (MS)
• GRE/GMAT: Optional (some programs waive for strong academic records)
• 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.

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Career Opportunities in AI

Thrive as Machine Learning 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
Machine Learning Engineer: $125,000 AI Research Engineer: $135,000 Data Science Engineer: $118,000 Technical AI Product Manager: $140,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Science Engineer 4. Autonomous Systems Engineer
Top AI Employers (Industry-Wide):
Top employers for AI/ML engineers include Microsoft, Google, Amazon, Tesla, IBM, Intel, and government research agencies like DARPA and the National Laboratories.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 40,375
Format
Online
Specializations
Machine Learning
Official Resources
Program Website
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