Application Steps
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.
After Applying
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.
SCHOLARSHIP INFORMATION
You may qualify for an income-based scholarship for this program. For more information, see the Scholarships page.
Related Resources
ADMISSION REQUIREMENTS
To apply, you must have:
- A high level of computer programming ability in Python as demonstrated by at least one of the following:
- Successful completion of three or more quarters of increasingly advanced college-level coursework in Python
- Equivalent work experience in programming in Python, including tasks requiring application of numerical and logical reasoning, control structures and complex procedures
- Successful completion of the Certificate in Python Programming
- A high level of applied quantitative ability as demonstrated by at least 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
- Strong written communication skills to be able to articulate problems, rationalize approaches, and comment on code.
- Ability to debug code, including the willingness to find and apply information found in Python documentation
To help you assess your programming and quantitative skills, take our data science self assessment. To be ready for this program, you should score at least 8/15 on each section.
Time Commitment
Including time in class, you should expect to spend about 10 to 12 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.
TECHNOLOGY REQUIREMENTS
- Access to a computer with:
- A recent operating system and a current web browser such as Edge, Safari, Firefox or Chrome
- At least 4GB and preferably 8GB of RAM
- Administrator privileges to install software
- High-speed internet connection
- Headset and webcam (recommended)
- Dual monitors (recommended)
Earning the Certificate
You earn a certificate of completion by successfully completing all required courses. For more information, see Earning the Certificate.