12-Week Immersive
Data Science Bootcamp

The 12-week bootcamp teaches the full set of tools necessary for a data scientist to hit the ground running in his/her first job. Unlike other programs, that focus on one language, or one set of tools, NYC Data Science Academy teaches all the technical skills that employers are looking for, including R, Python, Hadoop and Spark.

We accept candidates on a rolling basis. You can apply at any time for any cohort.

The application process consists of two steps: an online written application and a virtual or in-person interview.

The written application takes about one and half hours. The application is designed to help us get a sense of your educational and working experience. The application ends with short coding challenges. You can use any programming languages you feel comfortable to solve the challenges.

After reading your application, we will send you an invitation via email to schedule a virtual interview. The interview helps us understand why you want to pursue a career in data science and how NYCDSA is the best fit for your goals. At times we'll have a second in-person interview to help us to get to know you better and see if you're a good technical and cultural fit for the program.

We deliver an admission decision to you within one week and talk about next steps.

We accept some talented individuals who don't have any coding experience. We can teach you, too! We encourage people with zero coding background to apply at least six weeks ahead of the bootcamp start date, to allow enough time to finish a solid pre-work plan.

NYC Data Science Academy will accept applications from individuals with master’s degrees or Ph.D.s in Science, Technology, Engineering or Mathematics, or equivalent experience. Some Bachelor's or non-STEM degrees will also be considered, though we strongly urge you to take statistics and/or programming pre-work before the bootcamp starts. We encourage people with zero coding background to apply at least six weeks ahead of the bootcamp start date, to allow enough time to finish a solid pre-work plan.

Yes. NYC Data Science Academy has partnered with diverse companies from small startups to large corporations to help place our students in positions just right for them. But a job is not guaranteed. Our job placement assistance includes:

• Resume review, LinkedIn profile improvement, interview skills workshops
• In-class Industry Experts speaker series
• Hiring partner event series, including student presentations and a hiring partner networking gala party
• Mock technical interview and coding tasks
• Presentation of projects and networking with data science peers through our meetup events
• Real-world consulting project opportunities offered by hiring companies
• Company site visits
• Access to post-graduation resources

Our 12-week bootcamp is a full-time program. Students must be able to commit to 9:30-6:30 during the week and should expect to spend some time in the evenings and over weekends to complete project work. As with any instruction, students will get as much out of the program as they put into it.

Yes, we provide the bootcamp remotely through a combination of video recordings of the actual bootcamp class lectures, 1-on-1 TA support, and career support. We give our remote students usually 4 to 6 months of support to complete the program. Feel free to reach out to [email protected] to learn more about this option.

We work with every student individually to get their skills up to a level where they can start the bootcamp. We offer a variety of free part-time data science courses and customize pre-work packages for accepted students. If students have limited statistical and programming background, there are some books and online courses that we recommend. Also for students who are already in the New York City area, they can take part-time courses for free.

The tuition for Data Science Bootcamp is $17,600. A deposit of $5,000 is required after acceptance to secure your spot.

We partner with two different financing institutions: Skills Fund and Climb.

Skills Fund offers fixed interest rates on 3- and 5-year loans, regardless of current income, employment, or educational background.  In addition to the cost of the program, they offer a living stipend up to $7,500 with tuition financing.

Climb Credit offers fixed interest rate loans for both immersive and bundled part-time courses. Financing is available for various types of credit, including students with no credit. 95% of applicants will receive an instant decision after completing Climb's quick 5-minute application. International students are welcome to apply with a qualified co-borrower who is either a US citizen or permanent resident. Living expense stipends are also offered to those who qualify.

Information for either can be found on their respective sites.

We do not generally provide scholarships; in rare cases we provide some limited scholarships, often to those with PhDs and show financial need.

Yes! We have had a few international students in our bootcamp. There are a few things you should keep in mind: We do not provide visas, our international students have all come here on traveler visas or valid student visas; We do not guarantee a job for international students, as getting a job and working visa in the U.S. purely depends on potential employer's preference as well as the U.S. immigration policy; You should also be aware that the opportunities to get job and working visa in the U.S. with a non-U.S. degree are very few; As for hiring partnerships, we have a limited number of relationships outside of the U.S. but we are committed to helping you find a job where ever that may be.

Unfortunately we do not provide visas.

NYC Data Science Academy does not provide housing accommodations. There are a lot of affordable short-term housing options that you can search online, like Craigslist.org and AirBNB. We also partner with Literati Group Housing, which provides furnished housing and private rooms in apartments (ranging from $800-1450, average is $1000 without utilities in Astoria, Long Island City, Woodside, Jackson Heights, Harlem, Elmhurst). For more information, visit http://literati.nyc/