WA

Master's in DS/DA
On-Campus

University of Washington

MS in Computer Science & Engineering (PMP)

  • Seattle
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.

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What You'll Learn

Students gain deeper knowledge in machine learning, computer vision, database management, and the ethical and societal impacts of new technologies.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum requires 40 credit hours of technical courses and colloquia focused on applied computing and advanced software development.
Typical Course Topics
1. Algorithms and Data Structures 2. Software Engineering Principles 3. Computer Systems Design 4. Machine Learning and AI 5. Project Management for Engineers 6. Distributed Systems and Cloud Computing
Program Specializations:
Machine Learning
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
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: 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 Machine Learning Engineer in Business AI with machine learning expertise

Estimated Industry Salary
Software Engineer: $125,000
Total compensation (entry to mid-level)
AI Job Growth
22.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Software Engineer 2. Systems Architect 3. Machine Learning Engineer 4. Technical Project Manager
Top AI Employers (Industry-Wide):
Top employers include Microsoft, Amazon, Google, and Boeing.
Explore AI Career Paths
Program Details
Duration
  • 3 Year
Tuition
  • 44,800
Format
On-Campus
Specializations
Machine Learning
Computer Vision
Official Resources
Program Website
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