The Data Incubator is an intensive eight week fellowship that prepares master’s students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for fellows and supported by sponsorships from hundreds of employers across multiple industries.
Anyone who has already obtained a master’s or PhD degree or who is within one year of graduating with a master’s or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.
In addition to the below in-person locations, The Data Incubator will have a remote online session:
- New York City
- San Francisco Bay Area
- Washington, DC.
Dates: All sections will be from 2020-01-13 to 2020-03-06.
Early Deadline: 2019-10-14
Regular Deadline: 2019-10-21.
The Data Incubator will assess and interview candidates who apply for the Early Deadline first and then based on remaining availability, and will take candidates who applied for the Regular Deadline on a first-come first-serve basis.
Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.
Learn More: You can learn about The Data Incubator fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about the latest fellow alumni, check out The Data Incubator’s blog. To learn more about The Data Incubator, check out Venture Beat, The Next Web, or Harvard Business Review.
Published on October 5th, 2019
Last updated on October 3rd, 2019