Full-Financing
Lifelong Career Support

Data Science Bootcamp - Online

Learn data science anytime, anywhere with R, Python, Machine Learning, Big Data and Deep Learning .
Best Data Science Bootcamp Switchup
/ 5
( Reviews)
Best Online Bootcamp
2 years in a row
Upcoming Cohorts
Dates
Upcoming Cohorts
Dates
Spring Session (Full-time)
May 18, 2020 - Sep 4, 2020
Spring Session
May 18, 2020 -
Sep 4, 2020
Spring Session (Part-time)
May 18, 2020 - Oct 30, 2020
Spring Session
May 18, 2020 -
Oct 30, 2020
Summer Session (Full-time)
Jul 6, 2020 - Oct 23, 2020
Summer Session
Jul 6, 2020 -
Oct 23, 2020
Summer Session (Part-time)
Jul 6, 2020 - Dec 18, 2020
Summer Session
Jul 6, 2020 -
Dec 18, 2020
We also offer the Immersive Data Science Bootcamp for students who prefer to learn in-person.

Learning Road Map

The Online Bootcamp is designed for students to learn data science tools and methods anywhere and anytime. Students have the option to enroll on either a full-time or part-time track based on their preference and availability.

Full-time Online
Data Science Bootcamp
16 Weeks
Commit 30-40 hours/week
Part-time Online
Data Science Bootcamp
24 Weeks
Commit 20-30 hours/week

What You Will Learn

In this program students will learn beginner and intermediate levels of Data Science with an option to specialize in Big Data Technologies or Deep Learning. Students will also learn to build statistical models, linear regression, data classification and visualization using Python, R, Hadoop, Spark, AWS and more. Students receive upon graduation a Certificate of Completion from NYC Data Science Academy, which is licensed to operate as a Private Career School by the New York State Education Department through its Bureau of Proprietary School Supervision.

Prework

Prerequisite online coursework includes a total of forty hours of lecture videos and over two hundred coding challenge questions. The Prework will prepare students to work with both R and Python as well as revisit basic concepts in linear algebra, calculus, and statistics.

  • Intro to Python
    Designed for people who are new to programming
  • Python for Data Analysis
    Learn Python to process, analyze and visualize data
  • R for Data Analysis
    Learn R to process, analyze and visualize data

Prerequisite online coursework includes a total of forty hours of lecture videos and over two hundred coding challenge questions. The Prework will prepare students to work with both R and Python as well as revisit basic concepts in linear algebra, calculus, and statistics.

  • Intro to Python
    Designed for people who are new to programming
  • Python for Data Analysis
    Learn Python to process, analyze and visualize data
  • R for Data Analysis
    Learn R to process, analyze and visualize data

Online Classroom Features

Online Learning Platform

Students can access their coursework, get project feedback from instructors and mentors, and interact with fellow students for a truly embedded learning experience. The platform is designed to foster collaboration between students, instructors, and mentors. With our responsive interface that works on any device, students are able to access their learning materials anytime, anywhere.

Dedicated Meeting Portal for 1-on-1 Support

The online meeting portal allows students to schedule meetings with our dedicated mentors to discuss coursework, projects, and career advice. These mentors are professional data scientists working at global companies including PriceWaterhouseCoopers, Unilever, Vanguard, and National Grid.

Community Interaction

Our online community ensures that students always feel supported. The bootcamp involves group projects, peer programming, and online communication with their classmates and instructors. We aim to foster a community where every student can learn from each other’s codes and build the skills needed in a collaborative environment.

Outcomes and Salary Expectations

According to Glassdoor, Data Scientist is ranked the #3 Best Job in America with a median base salary of $107K per year, Data Engineer is ranked #6 with $102K salary per year, and Data Analyst is ranked #44.

Data Scientist (#3)
$107K
Data Engineer (#6)
$102K
Data Analyst (#44)
$62K

Networking opportunities with alumni and hiring managers

Networking Opportunities

Featured Alumni

Get Hired Along the Way

Students are provided extensive job placement assistance ranging from individualized resume support and interview guidance to access to our network of hiring partners and events.

Start your Application

1

Apply for the Program

We accept applicants who have a master’s degrees or Ph.D.s in Science, Technology, Engineering or Mathematics, or equivalent experience. Bachelor's or non-STEM degrees will also be considered.

2

Talk to an Admission Officer

After reviewing your application, our team will invite you to schedule a video interview. The interview serves as a chance to connect and better understand your background and career goals.

3

Technical Assessment

You will be asked to complete a series of technical questions that will assess your thought process and technical knowledge. You may use any programming language to complete the assessment.

4

Welcome on Board!

Our admissions process is highly competitive, rigorous and may take up to 7-10 business days. We encourage students to apply early as limited seats are offered and filled on first-come-first-serve basis.

Upcoming Cohorts

Spring Session (Full-time)
May 18, 2020 - Sep 4, 2020
Spring Session (Part-time)
May 18, 2020 - Oct 30, 2020
Summer Session (Full-time)
Jul 6, 2020 - Oct 23, 2020
Summer Session (Part-time)
Jul 6, 2020 - Dec 18, 2020
Summer Session (Full-time)
Aug 17, 2020 - Dec 4, 2020
Summer Session (Part-time)
Aug 17, 2020 - Feb 5, 2021
Fall Session (Full-time)
Sep 28, 2020 - Jan 22, 2021
Fall Session (Part-time)
Sep 28, 2020 - Mar 19, 2021
Spring Session (Full-time)
May 18, 2020 - Sep 4, 2020
Spring Session (Part-time)
May 18, 2020 - Oct 30, 2020
Summer Session (Full-time)
Jul 6, 2020 - Oct 23, 2020
Summer Session (Part-time)
Jul 6, 2020 - Dec 18, 2020
Summer Session (Full-time)
Aug 17, 2020 - Dec 4, 2020
Summer Session (Part-time)
Aug 17, 2020 - Feb 5, 2021
Fall Session (Full-time)
Sep 28, 2020 - Jan 22, 2021
Fall Session (Part-time)
Sep 28, 2020 - Mar 19, 2021

Tuition & Finance

Tuition Total
$17,600
full tuition payment
Payments can be made either by cash, credit card, check, or wire-transfer
Third-Party Financing Options
We partner with Skills Fund and Climb Credit to offer third-party financing options to interested students.
Skills Fund offers fixed interest rates on 3- and 5-year loans, regardless of current income, employment, or educational background. Climb Credit offers fixed interest rate loans for various types of credit, including students with no credit. International students are eligible to apply with a qualified co-borrower.
Skills Fund
$397.88
per month for 60 months
Borrow up to an additional
$7,500 for cost of living
Climb
$375 - $439*
per month for 60 months
Available to foreign citizens with a U.S. citizen or resident co-signer
* range varies based on approval interest rate

Student Testimonials

Heather Kleypas
Heather Kleypas
Growth Analyst
DailyPay Inc
New York, NY
I chose the remote bootcamp and learned a vast amount of topics including SQL, R, Python, and Hadoop & Spark. During my studies, I published 4 blog posts of project work ranging from a visual analysis of the American Music Awards to predicting housing prices. I had an assigned TA who I met weekly to discuss my courses and homework, which was very helpful. I received a job offer within a month of graduating as a Growth Analyst.
Jian Qiao
Jian Qiao
Data Scientist
Verizon
New York, NY
The knowledge I have learnt there has definitely made a big change in my everyday job. My colleagues are just amazed by what I can do. Also, the cap-stone project I have done has given me the chance of co-founding a start-up. If that's not enough, Google just called me recently and offered me an opportunity for an on-site interview.
William Zhou
William Zhou
Informatics Specialist
Memorial Sloan Kettering
New York, New York
Even though it is an online bootcamp, I was investing 40+ hours /week on studying slides, having office hour with TA, and NYCDSA can provide tremendous assistance on your job hunting after your graduation. Vivian and Chris know what you need to have on your resume to catch HR’s eye and get an interview, and they have a strong network which can expose you to much more opportunities.
Thomas Kassel
Thomas Kassel
Data Scientist
San Francisco, CA
The NYCDSA online bootcamp was the perfect blend of machine learning theory and practical, hands-on projects helping to solidify the lecture concepts. My TA, meeting with me at least weekly, along with my online cohort of 4 other students, held us all accountable for staying on track with course deadlines and project work. This accountability was a crucial component in keeping us motivated throughout the 5 months; other online programs fail to do this and suffer student dropout as a result.

Frequently Asked Questions

While the curriculum for both online and in-person bootcamps are the same, the online bootcamp is designed to provide an interactive learning experience to students who prefer to learn online anytime, anywhere using any device.

Start Your Data Science Career Today