University of Washington

How this program compares

Budget-wise, $73.6K puts this bachelor's program at the 61st percentile on cost — roughly 18% below the $89.8K average across 186 comparable listings. It runs on a full-time schedule (on-campus).

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.

It is one of 14 AI-related programs we track in Washington, of which about 57% offer an online option. On price, it comes in higher than about 79% of the Washington programs in our data, where typical tuition runs near $51.6K.

Graduates frequently move into roles such as MLOps Engineer, with reported salaries around $120,000.

Design machine learning models for engineering data processing and prediction.

At roughly $73.6K total, University of Washington's BS in Electrical and Computer Engineering – Machine Learning sits below the $89.8K average among AI bachelor's programs we track — the 61st percentile on price. That puts it in the mid-range on price among comparable programs.

Career Outcomes

University of Washington positions this bachelor track for MLOps Engineer careers — typical offers cluster around $120,000. Its focus on Deep Learning and MLOps/AI Engineering maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 21% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to University of Washington's BS in Electrical and Computer Engineering – Machine Learning generally expects a high school diploma. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions