University of Washington campus

Engineering

MS Artificial Intelligence and Machine Learning for Engineering at University of Washington

University of Washington, United States

Programme overview

Fee-based Master of Science in artificial intelligence and machine learning for engineering totalling 39 credits.

Faculty: College of Engineering  |  Department: Engineering (College-wide)  |  Duration: 39 credits  |  Location: Seattle, WA, United States

What you will study

A 16-credit foundational certificate (AI/ML for Engineering or Modern AI Methods), a discipline-specific data-intensive certificate of at least 15 credits, and an 8-credit ML Capstone (ENGR 595, 596).

Official programme page

Application information

Entry requirements

University of Washington Graduate School minimums for all graduate programmes: a bachelor's degree equivalent to a four-year US degree (or a master's/doctoral/professional degree); a 3.0 cumulative GPA on the bachelor's degree or on the last 90 graded quarter (60 semester) credits; applicants below 3.0 are considered only if the programme petitions the Graduate School Dean before an offer. Non-native English speakers need TOEFL iBT 80 (or 4.0 on the new 0-6 scale), IELTS 6.5 or Duolingo 110 at minimum; some programmes set higher scores.

Requirements published at program group level.

Graduate programmes open for admission at different times and have varying deadlines; entry quarter and dates are set by each programme.

Graduate application fee is $90 (USD), or $75 for Graduate Non-Matriculated applications, paid online by MasterCard or Visa; each submitted application requires a separate fee. Application dates and deadlines vary by programme and are shown in the Graduate School online application. The Law (JD), Dentistry (DDS), Pharmacy (PharmD) and Medicine (MD) programmes do not use the Graduate School application.

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