ADMISSION REQUIREMENTS
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
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.
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
Because this offering is 100% online, no visa is required and international students are welcome to apply. 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.