Full-Financing
Lifelong Career Support

Data Science Bootcamp

ONLINE INSTRUCTION
Learn data science anytime, anywhere with R, Python, Machine Learning, Big Data and Deep Learning.
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Online bootcamp students learn through pre-recorded videos that are easily accessible anywhere, allowing them to learn at their convenience. Live interactions happen through weekly live learning sessions over Zoom, instant messaging over Slack, and collaborative discussions over forums in our student portal.

Best Data Science Bootcamp Switchup
/ 5
( Reviews)
Best Online Bootcamp
2 years in a row
Upcoming Cohorts
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Dates
Price
Upcoming Cohorts
Apply By
Dates
Price

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 17, 2021 - Sept 3, 2021
Spring Session (Part-time)
May 17, 2021 - Oct 29, 2021
Summer Session (Full-time)
July 6, 2021 - Oct 22, 2021
Summer Session (Part-time)
July 6, 2021 - Dec 17, 2021
Spring Session (Full-time)
May 17, 2021 - Sept 3, 2021
Spring Session (Part-time)
May 17, 2021 - Oct 29, 2021
Summer Session (Full-time)
July 6, 2021 - Oct 22, 2021
Summer Session (Part-time)
July 6, 2021 - Dec 17, 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

Sofia Wang
Sofia Wang
Business Intelligence Analyst
The Trade Desk
In short, the bootcamp excels on the curriculum, providing guidance, and career services. I found this bootcamp online, and I decided to go for this one because of the curriculum and the feel of it during the assessment process - they sounded like they knew what they were doing! They provided valuable feedback on the areas I needed to improve. I have a math degree and was already a Sr. Data Analyst, but wanted to move a step forward in my career by learning Data Science and Machine Learning. What I liked is that the coursework is tailored to each person depending on their experience, strengths and weaknesses. I went for the part-time program since I was also working, and I am not going to lie, it is challenging! But worth it. Throughout the bootcamp I learned of many DS/ML concepts that are widely applied across different roles and companies, the projects assigned were the best way to apply and practice the things learned, and I eventually was able to apply them in my own job. They also offer TA sessions that are very helpful to review on the parts that seem confusing. One thing to note is that because of the extensive material taught condensed in a short period of time, studying extra materials is needed in order to get the most out of the bootcamp. Upon graduation, there are helpful resources on landing the next job - mock interviews, career advising, and networking. I landed a job at The Trade Desk as a Business Intelligence Analyst thanks to the stories I was able to tell of the projects I worked on in the bootcamp, the projects I worked on my previous role with the bootcamp knowledge, and with the various mock interviews (I was very bad at interviewing).
Kesman Valdes
Kesman Valdes
Sr. Manager, Quality Systems
Crown Holdings, Inc.
Greater Chicago Area
I had a great overall experience with the program and would strongly recommend it to anyone looking to transition into data science. The data analytics and machine learning coursework are taught in both, R and Python, but with different emphasis (inference vs prediction) allowing for a more comprehensive exposure to the different ML topics covered. The one-on-one mentor support was very helpful with coursework and the projects, but also with career advice. I met with the mentors on a weekly basis and all 9 mentors worked as data scientists in the industry. Job placement support is also great. After completing the program, I have had the opportunity to join several networking events, get interview skills coaching and work one-to-one on my resume with a career services strategist. I think the academy is very good at creating networking opportunities and partnering with companies to help you connect with potential employers and continue to build your portfolio. My background coming into the program: Materials science engineering PhD, minimal coding experience (a Coursera Python course), basic statistics skills and no machine learning knowledge. Completed NYC Data Science Academy part-time online bootcamp, which I choose because I had a full-time job throughout the program.
Paul Grech
Paul Grech
CEO
Evy Planner
I pivoted from electrical engineering into data science through the NYC DSA as part of cohort 3. Everything that followed that decision was because of the support, knowledge and network I received from attending their 12-week data science academy. I highly recommend their bootcamps and services!
Jun Kui Chen
Jun Kui Chen
Data Insights Analyst
PeerIQ
New York, NY
I was in one of the online bootcamp cohorts. Before I registered for the bootcamp, I just finished my graduate school in a biomedical related major. I liked doing data analysis, but I quickly found out that there was a gap between what I knew and what the industry wanted. Therefore, I decided to choose a bootcamp to ramp up my technical skills. I decided to join the NYC Data Science Academy because it offered a very competitive curriculum that included Python, R, SQL, Spark, Hadoop, and Hive. The projects we did, which include Rshiny app, web scraping, machine learning, and a final capstone project, are a good portfolio that students can present to potential employers and those skills can be directly applied to work. It was hard to keep up as I was also doing a full-time job while attending the online bootcamp. NYC Data Science Academy provided many services to keep students on track. One of the service I like the most is the TA assistance. I was paired with a TA and we met regularly to go over my progress and the questions I had. My TA was also an NYC Data Science Academy student before and was working in the industry as data scientist. Therefore, he not only knew what my struggles were on the course work, and he also taught me a lot of practical experience that was using in the industry.
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.
Chung-Hsuan Huang
Chung-Hsuan Huang
Data Scientist,
Bayer
St. Louis, Missouri
I did some research on data science online (Course report and switchup) before I made a decision. I chose NYC Data Science Academy because they covered both Python and R, their instructors are knowledgeable and professional, and comprehensive curriculum. Especially I have to use both R and Python in my work, so I think knowing both languages will open more opportunities when looking for a job. NYC Data Science Academy did a great job of helping me acquire the necessary skills in Data Science before, during, and after the bootcamp. The pre-bootcamp materials helped me get familiar with the essential R/Python coding skills and speeded up the learning curve during the bootcamp. I highly recommend whoever wants to join a bootcamp should prepare before the bootcamp, and NYC Data Science Academy does a great job in providing necessary materials in R/Python coding. During the bootcamp, the course work is very intensive. Although I already have coding experience and mathematical background, I still need to spend at least 12 hrs a day to study and finish homework and projects. However, the instructors and TAs are doing their best to ensure everyone can get the most out of the courses. As a remote student, I can't meet them in person, and they are still very responsive through messages or video meetings. During the bootcamp, I finished four projects to showcase my skills. One of them is solving the real business problem from the company, which is valuable when I was looking for a job. The academy also teaches you how to express your projects during the interview. They have a robust professional network and hold a hiring event one week after each cohort. You will have the opportunity to expand your network and show your skills to various companies that are looking for data scientists or data analysts. They also dedicated to supporting you find a great job. Vivian did a fantastic job helping me with my interview processes and giving me valuable feedback. Overall, I have a very positive experience with NYC Data Science Academy. I was suspicious if a bootcamp can make me transit into a data scientist when I looked for a data scientist bootcamp. However, I found a great job a month after I finished the bootcamp. This program is worth the hard work I put. I am glad that I made this decision a half year ago.
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.
Tracey Xu
Tracey Xu
Financial Engineer,
Moody's Corporation
New York, New York
I have worked in financial services for 8 years and realized how technology has changed this industry so I decided to learn data science. With master in economics and CFA, I think my weakness is programming and modeling, getting a proper training would be the most efficient way to make me a data scientist. While comparing a few bootcamp programs, I chose NYCDS for 3 reasons: 1. Great content: teaching both R and Python, also include hands on sessions for SQL, AWS, deep learning, NLP etc; 2. Great teacher and students: the founder and fellow teachers, guest teachers all worked on or currently working on data science projects in different industry, students having strong background with different domain knowledge; 3. The online full-time program fits my schedule after discussion with my manager.The skills I learned by completing the 4 projects could be directly apply to my work. The 12 week bootcamp was intense, but I learned so much by pushing myself to my limit. I am not only self-motivated, but also motivated by my peers. I felt so excited about the synergy between my and my teammates in group projects while working hard together. While achieving my goal of improving programming and modeling skills, I also becoming much more open-minded and not afraid to start from beginning learning new technical skills at any time. After completing the bootcamp, I applied the skills I learned and created an application at work which is becoming a popular tool. NYCDS is very supportive, teachers, TAs, fellow students, alumni as well as the founder of the school can provide you any resource you need to help you achieve your goal. If I can redo this program again, the only change I will make is applying earlier. In this way, I can prepare myself longer in the pre-bootcamp training so that I can explore more during the bootcamp. This bootcamp is a life change experience for me. I highly recommend this program!
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 NYC Data Science Academy 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.
Mustafa Koroglu
Mustafa Koroglu
Data Scientist,
Loblaw Companies
Toronto, Canada
The motivation for attending a data science bootcamp generally starts with reading testimonials, which are the experiences and thoughts of past fellows. I believe that my experience as a remote participant in the Summer 2017 bootcamp is unique as the NYC Data Science Academy made it live stream to me throughout the bootcamp. This is totally different experience than doing bootcamp online as I was able to join lectures, industry expert speaker sessions, and workshops as the fellows did in person. This was indeed a great opportunity for me as I was able to ask my questions during the lectures and seminars and participated actively with my comments. The crucial point here is that live streaming the bootcamp and communicating through Slack channel made it possible for the team at the Academy to track my progress in the assignments and projects daily and encouraged me to participate fully in the bootcamp. I can definitely say that attending the NYC Data Science Academy bootcamp was one of the greatest investments in my life. I learned how to code efficiently in R and learned to code in Python with real-life projects. I am hundred percent sure that my attendance to the bootcamp let me to find my current data science related post doctoral position. I could suggest future candidates take some initial online courses for machine learning and deep learning, where they will find themselves more comfortable while approaching highly-technical projects in the bootcamp. One of the strongest sides of this bootcamp at the NYC Data Science Academy is the time and effort that the hiring team spends on. For remote participants, this is much more valuable than any other thing as you are receiving constant help in finding the best job depending on your portfolio. And you feel that you are a member of an excellent group of data scientist. As an active learner of data science field, I recommend the NYC Data Science Academy with full of confidence.
Thomas Kassel
Thomas Kassel
Data Scientist
San Francisco, CA
The NYC Data Science Academy 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.
Wann-Jiiun Ma, Fraud Data Scientist
Wann-Jiiun Ma, Fraud Data Scientist
Citi Bank

I was a postdoc at Duke University (Engineering) and my background is control and optimization. I participated NYC Data Science Academy Online Data Science Program (10/2016 - 02/2017).

NYC Data Science Academy online video lectures have a very high quality. I found that the well-organized class material and lecture notes very helpful to prepare for data scientist job interviews. I can review the material repeatedly until I am ready for the interviews. Also, almost everything I need to pass a data scientist job interview is covered in the program, which can certainly facilitate my interview preparation.

Finally, Vivian and the entire NYC Data Science Academy team are extremely helpful for data scientist job searching. From resume/cover letter revision, coding practice, to data scientist technical interview preparation, NYC Data Science Academy has enabled me to make a smooth transition from academia to industry.

I found a job at Citibank as a Fraud Data Scientist. Without NYC Data Science Academy online program, I would have to spend much more time to find the right direction to achieve what I have been able to accomplish through this online program.

Shin Chin, Senior Data Scientist
Shin Chin, Senior Data Scientist
Associate - Senior Data Scientist
Booz Allen Hamilton
I am really enjoying taking the NYC Data Science Academy data science bootcamp remotely. I find their online classroom and materials very effective for learning the fundamentals of data science. The videos are very informative and the material well communicated and taught by the lecturer. The accompanying slides are clearly written and mostly self contained and you can learn a lot, just by reading them. The course is a nice blend of theory and practical programming experience using R and Python and other tools. The learning process is aided by doing and submitting the homeworks for the lecture materials, as well as completing project assignments. I interact frequently with the TA assigned to me. We often have Google hangout sessions where he helps set up my environment on my laptop like Git, R and Python. We also review my project assignments through Google hangouts where he provides valuable feedback and suggestions. The TA is very helpful, competent and knowledgable. I would definitely recommend the online version of this bootcamp.

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

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