The Data Incubator

In order to keep our students and staff safe and healthy, we are moving our Spring 2020 cohort online. You'll get the same great intensive training from our expert data science instructors from your own home, as we have extensive experience in online training. We are hoping our Summer 2020 cohort will be both online and in-person, though this is subject to change based on the state of the coronavirus. We strongly encourage you to apply, and will keep you updated on any changes to our program.

Become a Leading Data Scientist

The Data Incubator Fellowship Program

The Data Science Fellowship Program from The Data Incubator is one of the most rigorous, intensive programs available today. Designed to create the data scientists of tomorrow from qualified STEM academics, this full-time, eight-week program provides the skills needed to succeed in the “best job in America.”

Apply today to learn the most in-demand tools and programs from leading data scientists with years of experience at some of the world’s most innovative companies and universities. Become an expert in Python, Spark and TensorFlow while refining your coding and deployment abilities. By the end of the program, you’ll have the skills and tools you need to become one of the leading data scientists of the future.

Scholarships are available to highly-qualified, exceptional candidates. Put your best foot forward in your application for a chance to earn one of our coveted full scholarships.

Hiring Network

To help you find a great career after completing your program, we work closely with a number of companies actively seeking the best and brightest data minds to join their teams.

Have questions? Check out our FAQ

We are currently accepting applications for the Summer 2020 program!

Summer 2020 session runs from June 29, 2020 to August 21, 2020.

  1. Early Application Deadline: April 03, 2020
  2. Early Decision Notification: April 17, 2020
  3. Regular Application Deadline: May 02, 2020
  4. Regular Decision Notification: May 15, 2020

Sign in with your permanent (non-academic) Google account to start or continue applying. (We suggest using a account.)

We will only be able to see your email address and not your password or other private information.