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 computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and relevant coursework in math and computer science.

About This Program

This part-time evening program provides working software professionals with advanced graduate-level training in core and emerging areas of computer science.

Career Outcomes

Excel as Machine Learning Engineer in Business AI with machine learning expertise

• 1. Software Engineer
• 2. Systems Architect
• 3. Machine Learning Engineer
• 4. Technical Project Manager

What You'll Learn

• Design and analyze efficient algorithms for large-scale problems
• Develop scalable software systems using engineering best practices
• Manage technical projects with agile methodologies and risk assessment
• Apply machine learning to real-world engineering challenges

Curriculum Highlights

The curriculum requires 40 credit hours of technical courses and colloquia focused on applied computing and advanced software development.

Top Employers

Top employers include Microsoft, Amazon, Google, and Boeing.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and relevant coursework in math and computer science.

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: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)