The Data Incubator

Data Scientist: The Sexiest Job
of the 21st Century
Harvard Business Review

Data Science Fellowship

New York City | San Francisco Bay Area | Boston | Washington DC

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.

Leverage your degree as a data scientist

Training that links your analytical skills to job opportunities.

Free tuition for Fellows

Employer-paid Scholars keep the program free for admitted Fellows.

Mentorship from industry leaders

Learn from alumni and senior data scientists, and build your professional network.

Jumpstart your data scientist job search

Opportunities at top innovators in tech, healthcare, and finance with typical base pay ranging from $100K - $125K and as high as $150K.

Smart, passionate Fellows

Make the transition from academia with a selective peer group excited to learn and collaborate.

Build a series of miniprojects

Gain hands-on experience applying the tools employers value to real-world datasets. All powered by a 100-node cluster.

A few of our 250+ hiring and training partners:

Ebay
Flatiron Health
Foursquare
Mashable
Genetech
NY Times
Capital One
Pfizer
1010data
Microsoft
Designer Shoe Warehouse
JP Morgan

Testimonials

David Wallace

"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."

David Wallace, Amazon

Johns Hopkins University

Brian Farris

"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."

Brian Farris, Capital One

Columbia University

Xia Hong

"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."

Xia Hong, LinkedIn

Emory University

With loads of data you will find relationships that aren’t real.
Big data isn’t about bits,
it’s about talent.
Forbes Magazine

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Frequently Asked Questions

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:

  • Weekly Projects. The course is divided into eight technical modules, each with an associated weekly project. These projects will help you build your data science skill set using real-world data to solve business problems.
  • Capstone Project. Using a public data set of your choice, you will build a functioning web application to showcase your talents to employers.
  • Career Support. We help you build a competitive resume and cover letter and teach you the soft skills and interviewing tactics that will help you land a job as a data scientist. We also have a large network of partner companies that are looking to hire our program graduates and hold networking events for in-person participants.

Our program aims to build on the preparation you received in your academic training, by developing key skills such as:

  • Software engineering and numerical computation. Numerical techniques for optimization and vectorized linear algebra. Programming tools including Python, numpy, scipy, scikit-learn, matplotlib.
  • Natural language processing. Handling unstructured data, stemming, bag of words, TF/IDF, topic modeling.
  • Statistics. Hypothesis testing, regression and classification, ensemble methods, cross-validation, variance-bias decomposition, data normalization.
  • Data visualization. Including geographical and temporal data. Packages like d3, ggplot, matplotlib.
  • Databases and parallelization. SQL, Hadoop, MapReduce, Spark, TensorFlow.

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 have partnerships with housing options in each city, but participants are responsible for their own room and board during the program.

We offer a small number of full scholarships ("Fellowships") to exceptional candidates. Full scholarship recipients are required to:

  • Make a commitment to participate full time. Fellows are required to participate in the program in person. This means moving to New York, the San Francisco Bay Area, or Washington DC for the duration of the program. We expect Fellows to be in attendance for a standard 9 am - 5 pm work day, including occasional networking evening events.
  • Leave any current positions of employment. We ask that you interview with our hiring partners during and immediately after the program. Candidates should be ready to start work immediately after completing the program.
  • Decline to work with external recruiters while in the program. When a student takes employment with our hiring partners, we receive a placement fee that covers the program cost for that student. We do require that scholarship recipients' job search efforts to be exclusively with our hiring partners during - and for the three months following - the program.

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 require that applicants hold - or be within a month of completing - a Master's or Ph.D. We also expect that applicants have some prior programming experience, a foundational knowledge of statistics, and are proficient in the English language. Although we accept students from all over the world, we do find that those who hold US work authorization are more likely to find employment with our hiring partners.
We require all applicants to be familiar with at least one programming language. While the program emphasizes Python, many of our applicants have experience with other languages, and varying degrees of coding experience.
Applicants usually have a strong background in probability, statistics, and experience with programming, scripting, or statistical packages. We don't have any strong preferences about academic discipline. We've had successful participants from backgrounds as diverse as Anthropology, Political Science, and Sociology, as well as Mathematics, Physics, Chemistry, and many others.
While our Career and Partnerships team will work with you to prepare you for employment and do their best to help you find a job, we cannot guarantee that you will find employment. Over 80% of our graduates are employed within 6 months of completing the program.

We are not your typical bootcamp. We are highly selective, admitting only 2-3% of the top applicants each cohort. We also offer:

  • Cohort-style program. Make the transition from academia with a selective peer group excited to learn and collaborate. We aim to keep each cohort small, fewer than 20 students per location, to maximize your interaction with our Data Scientists in Residence.
  • Hands-on experience. All of our projects are designed to give you experience with real data sets, solving real problems.
  • Onsite instructors. Every location has an onsite Data Scientist in Residence to lead discussion and assist students.
  • Mentorship from industry leaders. Learn from alumni and senior data scientists, and build your professional network.
  • A large network of hiring partners. We have on average 50 actively hiring partner companies each cohort.

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 admissions@thedataincubator.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.

A few of our press mentions: