The College of Engineering seeks to enroll engineers looking to enhance their AI and ML skills and advance their careers.

Admission requirements

Applicants to the Graduate Certificate in Artificial Intelligence and Machine Learning for Engineering need a 3.0 cumulative grade-point average on a 4-point scale from an accredited school and meet specific coursework requirements listed below. To be considered for admission, applicants should submit a resume, statement of purpose, and unofficial/electronic transcripts.

How to apply

Prospective students not enrolled in a graduate program at the University of Washington must apply to the Graduate School as part of their application. The minimum qualifications for admission to the Graduate Certificate in Artificial Intelligence and Machine Learning for Engineering are:

• Undergraduate or graduate degree from an accredited school with at least 3.0 GPA.
• Undergraduate coursework in calculus, differential equations, linear algebra, and physics.
• Undergraduate coursework or work experience with writing computer code in any language.
• Strongly recommended: In previous degree, majored in engineering, physics, chemistry, or a closely related discipline. Other majors will be considered, if required prerequisite coursework above has been completed.
• English language proficiency for non-native English speakers must be demonstrated according to the requirements in Graduate School Policy 3.2. Not required if already enrolled in a graduate program at the University of Washington.

*If you do not meet some or all of the minimum requirements, please use the personal statement to address these issues.

• If you have been out of school for more than 5 years, or if your most recent degree is not in a closely related subject,
  • Use your personal statement or resume to highlight how you have kept up your math and coding skills, for example through work or continuing education.
  • If you do not use math and coding in your current work, consider taking a course at UW as a graduate non-matriculated student to brush up on skills.
• If you received low grades in prerequisite courses or are missing prerequisite courses on transcripts, use your personal statement to explain how you have gained or strengthened these skills through your career or continuing education.
• If you have not taken the prerequisite courses, consider taking them at UW as a non- matriculated student.

Application materials

Required application materials are as follows:

• Transcripts from all colleges and universities attended. These may be unofficial transcripts for application, but official transcripts will need to be submitted if offered admission. 
  • If you received any previous degrees from a school outside the US, provide an English- language translation of your transcripts, if the originals were not in English. Also make sure to provide context for course names for prerequisites.
  • Submit transcripts from all schools where college credit was received. This is especially important if you took prerequisite courses before transferring to the school from which you graduated.
  • List all degrees, not only the most recent.
• 1-page resume, including lists of relevant professional experience and contributions to the community through volunteering and service.
• 1-page Statement of Purpose, which should describe how this certificate program would help the prospective student reach their professional goals, in their current and/or potential future work. If the prospective student does not have an undergraduate degree in engineering, physics, or chemistry, include an explanation of how previous coursework or professional work has prepared them for this program.

Tips for applications:

Career goal alignment

• Provide specific examples of how your current or future engineering projects relate to our curriculum.
• If you are currently working in a different field or in a field that may not be obviously relevant, it is especially important for you to explain whether you hope to move your career in a new direction based on the skills and knowledge gained in our program.

Benefits to the community

We consider both how our program can benefit the applicant, and how the applicant could use the skills they gain to contribute to the larger community. We encourage you to address benefits beyond your current or future employer. These contributions include:

• benefits to the global engineering community,
• benefits to humanity,
• benefits to the applicant’s current or future employer.

* When applications are open, you can apply by clicking the link below. To apply to our AIML for Engineering certificate program, make sure to select "Engineering Grad Cert - AI & ML for Engineering (Stackable)" in the program drop down selection.

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