University of Washington

How this program compares

At an estimated $73.6K in total tuition, the BS in Electrical and Computer Engineering – Machine Learning sits roughly 15% below the $86.6K average for AI bachelor's programs in our database — placing it in the 63rd percentile on cost among the 232 we track at this level.

Admission Snapshot

Typical admitted student: 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.

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. Coursework concentrates on Deep Learning and MLOps/AI Engineering. Most students complete it in about 4 years.

Estimated total tuition is $73.6K, below the $86.6K average for AI bachelor's programs in our database and in the 63rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Start MLOps Engineer career in Engineering AI with machine learning focus Graduates frequently move into roles such as MLOps Engineer, with reported salaries around $120,000.

Career Outcomes

Start MLOps Engineer career in Engineering AI with machine learning focus

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

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.

Curriculum Highlights

Core topics include signals and systems, data-driven modeling, optimization, and foundational principles of machine learning and data science.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and hardware firms such as Intel and NVIDIA.

Admissions

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.

Application Materials

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

Academic Requirements

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