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Data Science Fellowship

 

Description

The Data Incubator is a Cornell-funded data science training organization. This is a free intensive 8 week fellowship that prepares masters 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. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship. The program is free for admitted Fellows. Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session. Fellows have the option to participate in the program either in person in New York, San Francisco Bay Area, Boston, Washington DC, or online.
Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.

 

Eligiblity Information

Academic Level:
Masters, PhD, Post Doctorate, Recently Graduated

Age minimum or maximum:*
No

Open to international students:

Required to demonstrate financial need:
No

Discipline Area(s):
Open to All Disciplines

Demographic Information (preferred or required):

Award type:
Fellowship

Amount Awarded:
Amount varies

 

Application Information:

Application Deadline:
Fall

Date application is available:

USC endorsement required:
No

Award Details:

Is there an interview:
No

Approximate date finalists are notified:

Approximate date selected candidates are notified:
Winter

Average number of applications received:

Number awarded:

Contact Information:

Primary Contact:
Michael Li

Position:
Founder

Website:
https://www.thedataincubator.com/fellowship.html