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 relevant professional experience preferred for this graduate certificate.

About This Program

This online certificate program teaches engineers how to apply artificial intelligence and machine learning techniques to real-world engineering problems and data.

Career Outcomes

Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI

• 1. AI/ML Engineer
• 2. Data Scientist for Engineering
• 3. Machine Learning Specialist
• 4. AI Applications Engineer

What You'll Learn

• Apply machine learning algorithms to engineering problems
• Implement AI models using tools like TensorFlow and scikit-learn
• Analyze data for predictive modeling in engineering systems
• Evaluate ethical and societal implications of AI deployment

Curriculum Highlights

The curriculum focuses on mathematics for AI, foundational coding, and applied machine learning tailored to professional engineering tracks.

Top Employers

Top employers include tech firms like Amazon, Microsoft, Google, and engineering companies such as Boeing and Lockheed Martin.

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 relevant professional experience preferred for this graduate certificate.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)