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BS in Electrical and Computer Engineering – Machine Learning

University of Washington

Location
Seattle, WA
Format
On-Campus
Cost/Year
$73,560
Job Growth
0.21%

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

What You'll Learn

• Design machine learning models for engineering data processing and prediction. • Integrate AI algorithms into embedded hardware and real-time systems. • Apply neural networks and deep learning to signal processing and control applications. • Analyze and optimize intelligent systems using electrical engineering principles.

Typical Courses

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

Career Paths

1. Machine Learning Engineer 2. Embedded AI Systems Engineer 3. Robotics Software Engineer 4. Signal Processing Specialist

Machine Learning Engineer: $120,000

Program Details

ScheduleFull-Time
Duration4 years
Specialization 1Deep Learning
Specialization 2MLOps/AI Engineering
Top RoleMLOps Engineer
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Admission: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.