Full-Financing
Lifelong Career Support

Data Science Bootcamp

Learn data science tools in 12 weeks with R, Python, Data Analysis & Visualization, Machine Learning, Deep Learning, and Big Data.

Our in-person summer bootcamp will begin as scheduled on July 6, 2020, and students will receive remote/live online instruction. Here are more information and a list of frequently asked questions. Learn more

Best Data Science Bootcamp Switchup
/ 5
( Reviews)
Best Data Science Bootcamp
5 Years Running
Course Report Rating
/ 5
( Reviews)
Upcoming Cohorts
Apply By
Dates
Upcoming Cohorts
Apply By
Dates
Summer Session
June 19
Jul 6, 2020 - Sep 25, 2020
Summer Session
June 19
Jul 6, 2020 -
Sep 25, 2020
Fall Session
September 11
Sep 28, 2020 - Dec 18, 2020
Fall Session
September 11
Sep 28, 2020 -
Dec 18, 2020

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

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.

Choose The Path That's Right For You

Choose The Path That's Right For You
Data Science BootcampFull-time Online Data Science BootcampPart-time Online Data Science BootcampBundled Professional Development CoursesProfessional Development Courses
CommitmentFull-time & In-personFull-time & OnlinePart-time & OnlinePart-timePart-time & In-person
Duration12 Weeks
Only on Weekdays
16 Weeks24 WeeksCombination of professional development courses4 - 6 weeks
Weekdays or Weekends
Career Support//
Cost$17600$17600$17600Starts at $4500Starts at $1500
Financing Options/
Choose The Path That's Right For You
Choose The Path That's Right For You

Learn From the Best

Vivian Zhang
Vivian Zhang
Data Scientist/Instructor
Vivian is the founder of NYC Data Science Academy and co-founder of SupStat. She is an adjunct professor at Stony Brook University and founded the NYC Open Data Meetup, which is 4000 strong. She has many years of practical experience in data technologies and the analytics, and has expertise in multiple programming languages including R, Python, Hadoop, and Spark. Vivian was ranked in "9 Women Leading The Pack In Data Analytics" by Forbes in August 2016. She enjoys meeting people and enjoys sharing her experiences with young professionals and students.

Start your Application

1

Apply for the Program

We suggest applicants to 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

Summer Session
Jul 6, 2020 - Sep 25, 2020
Fall Session
Sep 28, 2020 - Dec 18, 2020
Summer Session
Jul 6, 2020 - Sep 25, 2020
Fall Session
Sep 28, 2020 - Dec 18, 2020

Tuition & Finance

Exclusive Discount
Tuition Total
$15,840
$17,600 10% Off
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

*Starting May 21, we are extending a 10% discount for students who complete their enrollment to the Summer bootcamps by June 26, 2020.

What Our Alumni Say About Us

Upcoming Events

Campus Location

Campus Location
500 8th Ave Suite 905, New York, NY 10018
Nearby Subways
1 2 3 34th, Penn Station
A C E 34th, Penn Station
N Q R B D F M 34th, Herald Square

Student Life on Campus

9 AM
Map Marker
10 AM
11 AM
12 PM
1 PM
2 PM
3 PM
4 PM
5 PM
6 PM
7 PM
8 PM

9:30 AM - 12:30 PM
Morning Lectures

The lectures are conducted in modern classrooms equipped with live web-streaming technology. Students have 24/7 building access, free high-speed internet, pantry with breakfast cereal, tea, coffee, granola bars, fresh fruits and more. The detailed daily schedule is shared with students during the orientation..

Frequently Asked Questions

Interested applicants are encouraged to submit their bootcamp application as early as possible as the Academy has a competitive process due to the number of applications that are received and limited seats that are offered.

The application process consists of three steps:

  1. Applicants are required to submit an online application designed to help the Admissions team get a sense of each applicant’s educational and work background. Applicants are also asked to complete self-assessment questions about their familiarity and technical experience with various data science topics and tools. It should not take more than 10 to 15 minutes to complete the online application.
  2. After the application is reviewed, the applicant will be contacted by a member of the Admissions team to schedule a video interview. This interview serves as a chance for both parties to understand better if the bootcamp program is the best fit for the background and goals of the applicant.
  3. If advanced to the final step, the applicant is invited to complete a technical assessment. It contains technical challenges that determine the thought process and programming experience of the applicant. Each applicant has 48 hours to complete and submit the assessment. The team will then review and evaluate the responses and determine if the applicant is ready to join the bootcamp.

Start Data Science Career Today