Application Deadline

We’re currently accepting applications and will be reviewing them in the order they’re received. We’ll accept applications until Thursday, January 19, 2023, at 11:59 p.m. Pacific Time, or until the program fills, whichever comes first.

Application Steps

Note: If you are a graduate of the Certificate in Data Science, or have successfully completed the Data Science: Machine Learning Techniques course prior to Spring 2018, you can just submit an application form and pay the $50 nonrefundable application fee. You do not have to submit the materials listed in Step 1.

Step 1: Gather the following materials

  • A brief letter (250-word maximum) that describes your relevant experience, transferable skills, knowledge of the field and commitment to professional growth
  • A resume that highlights how your education and any applicable experience fulfill the program’s admission requirements

Step 2: Apply

Complete your application and submit the materials listed in step 1.

Pay the $50 nonrefundable application fee. In one to two business days, you’ll get an email with a link to pay your fee.

After Applying

We’ll contact you within two weeks of receiving your application materials to let you know if you’ve been accepted to the program.

If you’re accepted, we’ll send you details about your first-term course, including information on how to register and pay your course fees. To ensure your spot in class, we recommend that you register by the priority registration deadline, which is four weeks before class begins. After that time, we may release your seat to another student. The final registration deadline is two days before the first class meeting.


You may qualify for an income-based scholarship for this program. For more information, see the Scholarships page.

Related Resources


Our students are a diverse group of professionals that include statisticians, applied mathematicians, data scientists and experienced programmers. Admission requirements vary depending on your field. Review the requirements that pertain to you below.

If you are a programmer, software engineer or another kind of engineer:

  • Three years of recent professional programming experience in a high-level language such as C, C++, Java or Python or equivalent personal projects such as in Kaggle
  • Undergraduate mathematics courses covering linear algebra, calculus and probability
  • Undergraduate courses in statistics (or completion of the Foundations of Statistics course)

If you are a statistician, applied mathematician or data scientist, or have a Ph.D. in another quantitative field:

  • Two years of experience as a statistician, data scientist or applied mathematician OR a Ph.D. in a quantitative field (ABDs — All But Dissertation people — welcome)
  • Familiarity with programming in a high-level language

If you don't meet the requirements above, you might consider enrolling in the Certificate in Data Science first. Or you may go ahead and apply to the Certificate in Machine Learning, and you may be given options for fulfilling the requirements before the program begins.

Exceptions to the Requirements Above

If you are a graduate of the Certificate in Data Science program, or you have successfully completed either the Data Science: Methods for Data Analysis or Data Science: Machine Learning Techniques course, you'll be automatically accepted into the program after you submit your application form and fee. You do not have to submit any additional application materials.

Time Commitment

Including time in class, you should expect to spend about 9 to 11 hours each week on coursework.

English Proficiency

If English is not your native language, you should have at least intermediate English skills to enroll. To see if you qualify, make sure you are at the B2 level on the CEFR self-assessment grid. To learn more, see English Language Proficiency Requirements – Noncredit Programs.

International Students

To enroll, international students must have a visa that permits study in the United States. This program does not enable students to obtain or maintain F-1 visa status. For more information, see Admission Requirements for International Students.

Technology Requirements

  • Access to a computer with a recent operating system and web browser
  • Administrator privileges on the computer to install software
  • High-speed internet connection
  • Headset and webcam (recommended)

Earning the Certificate

You earn a certificate of completion by successfully completing all required courses. For more information, see Earning the Certificate.