WA

Bachelor's in AI
On-Campus

University of Washington

BS in Electrical and Computer Engineering – Machine Learning

  • Seattle
About This Program

This undergraduate pathway focuses on the intersection of computing, sensors, and data science to enable large-scale machine learning applications and systems.

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What You'll Learn

Students learn to design hardware for data collection, process and clean complex datasets, and train various supervised and unsupervised machine learning models.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Core topics include signals and systems, data-driven modeling, optimization, and foundational principles of machine learning and data science.
Typical Course Topics
1. Digital Signal Processing 2. Machine Learning Fundamentals 3. Deep Learning Algorithms 4. Embedded Systems for AI 5. Neural Networks and Computer Vision 6. AI in Control Systems
Program Specializations:
Deep Learning
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
High school diploma or equivalent with strong performance in math and science courses (calculus, physics) is required; competitive GPA (3.0+), SAT/ACT scores (optional at many institutions), and relevant AP/IB credits in STEM preferred.
Academic Requirements (Typical)

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Optional
• Letters of Recommendation: Optional
• Resume: Optional
• 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

Start MLOps Engineer career in Engineering AI with machine learning focus

Estimated Industry Salary
Machine Learning Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
21.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Embedded AI Systems Engineer 3. Robotics Software Engineer 4. Signal Processing Specialist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Microsoft, Amazon, and hardware firms such as Intel and NVIDIA.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 73,560
Format
On-Campus
Specializations
Deep Learning
MLOps/AI Engineering
Official Resources
Program Website
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