University of Washington

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

Career Outcomes

Position as Product Analyst in Engineering AI with machine learning expertise

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 92+ / IELTS 7.0+)