Data Scientist: The Sexiest JobHarvard Business Review
of the 21st Century
The Data Incubator is a Cornell-funded data science training organization. We run a free advanced 8-week fellowship (think data science bootcamp) for PhDs and Master's students looking to enter industry. A variety of innovative companies partner with The Data Incubator for their hiring and training needs, including LinkedIn, Genentech, Capital One, Pfizer, and many others. The program is free for admitted Fellows - see the FAQ below for more information.
Fellows have the option to participate in the program in-person in New York, San Francisco Bay Area, Boston New, or Washington DC.
Training that links your analytical skills to job opportunities.
Employer-paid Scholars keep the program free for admitted Fellows.
Learn from alumni and senior data scientists, and build your professional network.
Opportunities at top innovators in tech, healthcare, and finance with typical base pay ranging from $100K - $125K and as high as $150K.
Make the transition from academia with a selective peer group excited to learn and collaborate.
Gain hands-on experience applying the tools employers value to real-world datasets. All powered by a 100-node cluster.
"TDI provided the opportunity to work with an incredibly intelligent and motivated group of people on difficult problems that were directly relevant to Data Science. [The] collaborative atmosphere, coupled with a very strong curriculum and knowledgeable mentors, really helped me to take my programming and machine learning capabilities to the next level."
"The most valuable thing I got out of The Data Incubator was the ability to meet people from industry through the partner panels and happy hours. [It] was an extremely efficient way to do a lot of networking in a short amount of time, which greatly increases the chance of finding a job. It is much easier to initiate a dialogue with a hiring partner if you have already met someone from the company in person."
"Completing miniprojects on diverse and up-to-date topics really helped me to be confident about how to apply my technical skills to solve problems in practical situations. The hands-on experience from end to end, especially the relevance of the techniques to that in industry, is going to be a long-term benefit for me and certainly for any previous and current Fellow."
With loads of data you will find relationships that aren’t real.Forbes Magazine
Big data isn’t about bits,
it’s about talent.
The Data Science Fellowship Program is a full-time, 8-week course that aims to prepare scientists and engineers with advanced degrees for careers in industry as data scientists.
There are three main components to the program:
Our program aims to build on the preparation you received in your academic training, by developing key skills such as:
The program costs $17,000 to participate in-person and $9,000 to participate online. Financing is available through Climb Credit or other lenders of your choice. We do offer discounts if you make a full payment without financing. Additionally, if you are placed with one of our hiring partners we will refund 50% of your tuition.
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.
Participants who use Climb Credit to finance their participation are not eligible for the 50% placement refund.
We offer a small number of full scholarships ("Fellowships") to exceptional candidates. Full scholarship recipients are required to:
We do offer an online option, but strongly encourage participating in one of our in-person locations. In-person participants have an advantage of more established peer collaboration and in-person instructor aid. However, in-person networking events are only open to participants in our in-person locations.
If you choose to participate online, we still recommend making a full-time commitment to the program for eight weeks. You can expect to spend about 40 hours a week on the program and we do have several events (lectures and office hours) that happen between 9:00 am to 5:00 pm.
If you receive one of our coveted full scholarships we require that you participate in-person.
We are not your typical bootcamp. We are highly selective, admitting only 2-3% of the top applicants each cohort. We also offer:
We do consider requests to defer to the next session from admitted participants. However, we can only allow a very small number of deferrals for each cohort and we give priority to anyone who has applied to participate during any given cohort. Due to program interest and limited space, we consider deferral requests on a case-by-case basis.
To be considered for a deferral, you will need to provide a detailed explanation of why you are requesting the deferral to email@example.com no later than one week after you receive your admissions decision.
You may apply once per admissions cycle, but there is no limit to the number of times you may apply to our program over time. Our program is very selective, so if you are not accepted, we encourage you to enhance your data science skills with training from our parent company, Pragmatic Institute.
We accept international students for the program and encourage them to apply.
However, we are not lawyers and cannot provide legal advice. To the best of our understanding, you may participate in the program if you have a visa that grants work-authorization, e.g. H-1B, TN, L-1B visas or F-1 students on Optional Practical Training (OPT), so long as the program is incidental to your status, or if you have any visa that allows you to be in the country to attend meetings, e.g. a visa status which allows for participation in professional seminars and/or non-academic, short course of study such as the B-1 visitor visa or the Visa Waiver Program.
Please consult an immigration attorney for additional guidance. If you need an immigration attorney, consider using Adam Moses at Wildes Weinberg.
We do not sponsor visas.
If you are admitted, we invite a few of our alumni to the information sessions to help answer your questions about the program. We can't give out contact information for privacy reasons, but we encourage you to check out what our alumni have to say about the program on our blog.