With a self-paced program, there is no application deadline — you can apply and start the program whenever you'd like.
Step 1: Complete the online qualifications assessment quiz
Take the online data science qualifications assessment quiz. Once you start the assessment, you must complete it within 90 minutes.
The assessment includes 30 multiple-choice questions and one written question and is divided into two sections: statistics and linear algebra, and programming. Applicants must earn at least 8 out of 15 points in each section and respond to the written question. After you submit your quiz, you’ll be able to see your score.
Please use the same email address on both your assessment and application.
Step 2: 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 3: Apply
Complete your application and submit the materials listed in step 2, along with your $50 nonrefundable application fee.
We’ll contact you within seven business days of receiving your complete 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 course, including information on paying your course fee. Note: You have 24 weeks to register for your first course after being accepted. After that, you'll need to reapply to the program before you can register.
You may qualify for an income-based scholarship for this program. For more information, see the Scholarships page.
To apply, you must have:
COMPUTER PROGRAMMING SKILLS
- A score of 8/15 on the programming section of the data science assessment quiz
- A high level of applied computer programming ability as demonstrated by one of the following:
- Successful completion of three or more quarters of increasingly advanced college-level coursework in the same computer programming language (preferably Python, R, Java, or C#)
- Equivalent work experience in computer programming, including tasks requiring application of numerical and logical reasoning, control structures, and complex procedures
- Successful completion of Foundations of Programming (Python), Programming in Python and Advanced Programming in Python
- A score of at least 8/15 in the quantitative section of the data science assessment quiz
- A high level of applied quantitative ability as demonstrated by one of the following:
- Successful completion of college-level coursework in calculus, statistics and linear algebra
- Equivalent work experience in quantitative methods, including tasks requiring calculus, statistics and linear algebra
- Successful completion of Foundations of Statistics
- Strong written communication skills to be able to articulate problems, rationalize approach and comment code
- Willingness to learn basic Python syntax if needed
- Ability to debug code, including the willingness to find and apply information found in Python documentation
If you're not a native English speaker, you’ll need to have at least basic English language skills to enroll. To learn more, see English Language Proficiency Requirements.
International students are welcome to apply to an online offering of this program, which doesn’t require a visa. To enroll in a classroom offering, you 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.
- Access to a computer with at least 4 GB and preferably 8 GB of RAM. Classroom students must bring a laptop to class or an equivalent device that has remote access to a computer.
- Administrative access to the computer and the ability to install software
- High-speed internet connection
- Current web browser, such as Internet Explorer, Safari, Firefox or Chrome
- Anaconda Distribution with Python 3.7+ version
Earning the Certificate
You earn the certificate by adhering to the program's attendance policy and successfully completing all required courses. For more information, see Earning the Certificate.