Our online courses teach a tried-and-true data science curriculum tailored to assure students graduate as well-rounded data scientists. Using real-world tools, students learn from some of the country’s top instructors on Flatiron’s proprietary platform, Learn.co.
From Python to Machine Learning, our Online Data Science immersive course gives students the breadth and depth needed to become well-rounded data scientists. Students also leave with an understanding of how to discover new techniques as their career progresses.
We wrote the book on how to get a job after a bootcamp — literally. Flatiron School students work 1:1 with a dedicated career coach on interview best practices and successful job-search approaches that have worked for over 1,200 other students, and get access to our 200-page guide on how to be a great job-seeker, available only to Flatiron students.
Switch careers with total confidence, because your success is our success: Our Online Data Science immersive is covered by a money-back guarantee. Receive a job offer within six months (see details), or you’re eligible for a full tuition refund.
Our online courses teach a tried-and-true data science curriculum tailored to assure students graduate as well-rounded data scientists. Using real-world tools, students learn from some of the country’s top instructors on Flatiron’s proprietary platform, Learn.co.
Choose Which Course Pace Is Right for You
Graduate and become a data scientist in 5 months with our fastest program pace: full-time. Students will work through the 45-50 hours per week of coursework and benefit from dedicated, full-time learning.
Students benefit from learning with a small, cohort and a dedicated Cohort Lead who teaches and mentors throughout the entire course schedule, at a 20:1 student:teacher ratio. Attend live study groups each week with your cohort lead.
Meet 1:1 for a full hour with your Cohort Lead weekly to get help breaking through tough technical concepts. Additionally, connect over 1:1 sessions with a dedicated Educational Coach every 2 weeks to review overall progress stay accountable for your progress. These sessions are in addition to real-time support from our Technical Coaches via our Ask A Question feature in Learn.co.
Graduate and become a data scientist in 5 months with our fastest program pace: full-time. Students will work through the 45-50 hours per week of coursework and benefit from dedicated, full-time learning.
Students benefit from learning with a small, cohort and a dedicated Cohort Lead who teaches and mentors throughout the entire course schedule, at a 20:1 student:teacher ratio. Attend live study groups each week with your cohort lead.
Meet 1:1 for a full hour with your Cohort Lead weekly to get help breaking through tough technical concepts. Additionally, connect over 1:1 sessions with a dedicated Educational Coach every 2 weeks to review overall progress stay accountable for your progress. These sessions are in addition to real-time support from our Technical Coaches via our Ask A Question feature in Learn.co.
Graduate in 10 months at a pace that offers the same structure and rigor as our full-time option, but on a part-time schedule. Students work through a minimum of 25 hours per week of coursework and benefit from a structured schedule designed to keep them on track towards a career in code. While completing the program, students need to dedicate a part of their day-to-day in order to move through the coursework on schedule.
Students benefit from learning with a cohort of up to 40 peers, and a dedicated Cohort Lead who teaches and mentors throughout the entire program schedule. Students dedicate time to a live study groups with their cohort lead every day, with options to fit their schedule.
Meet 1:1 once a month with an Educational Coach to help you stay accountable to your goals, anchor to your motivation, and review your overall progress. Partner with your Coach on addressing challenges, and striking the right balance between your coursework and the rest of your life. These sessions are in addition to to real-time support from our Technical Coaches via our Ask A Question feature.
Graduate in 10 months at a pace that offers the same structure and rigor as our full-time option, but on a part-time schedule. Students work through a minimum of 25 hours per week of coursework and benefit from a structured schedule designed to keep them on track towards a career in code. While completing the program, students need to dedicate a part of their day-to-day in order to move through the coursework on schedule.
Students benefit from learning with a cohort of up to 40 peers, and a dedicated Cohort Lead who teaches and mentors throughout the entire program schedule. Students dedicate time to a live study groups with their cohort lead every day, with options to fit their schedule.
Meet 1:1 once a month with an Educational Coach to help you stay accountable to your goals, anchor to your motivation, and review your overall progress. Partner with your Coach on addressing challenges, and striking the right balance between your coursework and the rest of your life. These sessions are in addition to to real-time support from our Technical Coaches via our Ask A Question feature.
Our self-paced program provides the same rigorous curriculum and mastery standards of our full-time and part-time paces, but at a 100% flexible, self-guided schedule. This program most benefits students who have familiarity with data science and unpredictable schedules by providing access for up to 15 months as they guide themselves through the coursework.
Includes five sessions with an Educational Coach to help you set and stay accountable to your goals, and make steady progress at a pace that is right for you. Students also get on-demand access to Technical Coaches through the Ask A Question feature in Learn.
Collaborate with fellow students and teachers, join live study groups, pair and chat with your peers, and access a living course that features thousands of updates a year to reflect current industry trends.
Our self-paced program provides the same rigorous curriculum and mastery standards of our full-time and part-time paces, but at a 100% flexible, self-guided schedule. This program most benefits students who have familiarity with data science and unpredictable schedules by providing access for up to 15 months as they guide themselves through the coursework.
Includes five sessions with an Educational Coach to help you set and stay accountable to your goals, and make steady progress at a pace that is right for you. Students also get on-demand access to Technical Coaches through the Ask A Question feature in Learn.
Collaborate with fellow students and teachers, join live study groups, pair and chat with your peers, and access a living course that features thousands of updates a year to reflect current industry trends.
With our full-time and part-time course pacing options, you can also connect in-person with other learners in your city and work in an inspiring, beautiful workspace with a one-year WeWork hot desk membership included in your tuition — valued at over $2,500 per year.
Not sure which learning option is right for you? Sign up for a 10-minute Program Consultation Chat with our admissions team to determine what pacing is the perfect fit for you.
At Flatiron School, our mission is to enable the pursuit of a better life through education. Hundreds of online students have trusted us with their futures so far, and we continue to release verified job outcomes reports to help students make well-informed decisions about their educational investments. Below are highlights from the 2018 Online Job Outcomes Reports.
Job-seeking Online Web Developer Program (now called the Online Software Engineering Bootcamp) students in the most recent Online Outcomes Report who took full-time salaried roles, paid apprenticeships, and part-time roles during reporting period
Job-seeking Online Web Developer Program (now called the Online Software Engineering Bootcamp) students in the most recent Online Outcomes Report who took technical roles
More than ever before, industries are capturing data on a variety of topics, behaviors, and trends. There are stories to tell or insights to share in that data. Without data science, this information stays stuck. To innovate and set business goals, more and more companies are looking to data scientists to fill in the gaps and find opportunities never before considered or understood.
In fact, data scientist and machine learning engineer jobs are the two fastest-growing careers in all of technology.
As this area of expertise has grown, the positions within the field become more nuanced. After completing our Flatiron School’s Online Data Science Bootcamp — at any pace — students will be qualified to secure a job as a data scientist, but can also consider pursuing any of the following related positions:
This online program will provide students with the knowledge, skills, and experience to become a professional Data Scientist, which requires a mix of software engineering, statistical acumen, and the ability to apply both skills in new and challenging domains. The program will teach students to gather data and apply statistical analysis and use them to solve important problems.
Our pedagogy ensures job readiness for today’s market, along with the aptitude and skills to keep learning and stay relevant.
Students will gain an overview of the skills required to be a Data Scientist: data gathering and cleaning, analysis using probability and summary statistics, and data visualization. Foundational concepts in Python and SQL are also covered, along with functions and object orientation, writing, scraping, and regular expressions.
Building on the data exploration and analysis of the first three weeks, students will go deeper by learning Bayesian and Frequentist statistics. Students will go into regression analysis, learning about linear and logistic regression, and how to build regression models — including how to solve linear regression with gradient descent.
Students will move into supervised learning, non-parametric algorithms like k-nearest-neighbors and support vector machines. Introduction to threading and multiprocessing to work with big data will be covered — in doing so, students will learn about Apache Spark and Apache Spark on AWS.
Students will also learn about decision tree learning and how it can be applied to classification and regression tree analysis, as well as how to conduct time series analysis using Pandas.
Students will move to unsupervised learning, how to simplify their machine learning models, and how to accommodate for imbalanced data. Building recommender algorithms using collaborative filtering, matrix decomposition, clustering, and deep learning approaches will also be covered.
Students will work on and complete a solo final project as an opportunity to review and push deeper into the material covered in the previous modules. Along the way, coursework will emphasize project management techniques in data science, as well as presenting and communicating a data science project to a non-technical audience.
Our Career Services team has helped over 1,200 students secure positions via a proven framework for job-seeking, and a team of Career Coaches and Employer Partnerships advocates who work with and on behalf of our students and grads. When it’s time to prepare for the job search, students work one-on-one with a dedicated Career Coach to build the collateral and skills they’ll need to succeed — including resume creation, crafting a narrative about your journey into data science, counseling on how to open conversations with employers, and practice interviews to hone your networking and interviewing skills.
Graduates join an active network of successful data scientists and software engineers. For Flatiron alumni, engaging with our community doesn’t stop at graduation.
Flatiron School alumni gain lifetime access to additional curricula on Learn.co:
Our Career Services team has helped over 1,200 students secure positions via a proven framework for job-seeking, and a team of Career Coaches and Employer Partnerships advocates who work with and on behalf of our students and grads. When it’s time to prepare for the job search, students work one-on-one with a dedicated Career Coach to build the collateral and skills they’ll need to succeed — including resume creation, crafting a narrative about your journey into data science, counseling on how to open conversations with employers, and practice interviews to hone your networking and interviewing skills.
Graduates join an active network of successful data scientists and software engineers. For Flatiron alumni, engaging with our community doesn’t stop at graduation.
Flatiron School alumni gain lifetime access to additional curricula on Learn.co:
“Data Science is leading the way in changing how people and businesses make decisions. With that in mind, we’ve developed a curriculum that teaches the skills necessary for the field, but also creates an environment that cultivates the curiosity all great data storytellers share.”
At Flatiron School, students learn by building. Students will come away with an advanced Portfolio Project to demonstrate their technical proficiency and creativity to current or future job managers and hiring leads.
Our course dedicates significant time towards completion of a large-scale data science and machine learning project where students work on a solo project in a domain of their choice. The project provides an in-depth opportunity for students to demonstrate their mastery of material, review course subjects, and work on an end-to-end data science project.
GitHub is the modern source of technical resumes. Students push every line of code they write at Flatiron School to GitHub through our proprietary platform, Learn.co, giving them an extensive profile to show employers and fellow data scientists.
Students build their credibility as data scientists and immerse themselves by attending — and challenging themselves to present — at Flatiron School events.
GitHub is the modern source of technical resumes. Students push every line of code they write at Flatiron School to GitHub through our proprietary platform, Learn.co, giving them an extensive profile to show employers and fellow data scientists.
Students build their credibility as data scientists and immerse themselves by attending — and challenging themselves to present — at Flatiron School events.
Final projects will be unique for each student and determined in partnership with the student’s instructor. Specifically, projects are required to have the following items to meet the minimum bar of difficulty:
Examples of final projects could be building a better search engine for a travel site (such as Airbnb or Kayak) or an examination of a global interest utilizing data visualization and topic modeling.
Flatiron students get jobs, period. As a graduate of our Online Data Science Bootcamp, job-seek with the support of our team and you’ll get a job offer within 6 months of graduation, or we’ll refund your tuition (see eligibility terms). From weekly 1:1 career coaching sessions, to mock interviews, to employer evangelism, our seasoned Career Services team is dedicated to helping our students launch lifelong careers in data science.
Every student is paired with a dedicated career coach, who coaches students through an effective job search via resume review, mock interviews, and partnering with students on creating and executing strategies for building a job opportunity pipeline and getting a foot in the door at top-choice companies.
Flatiron students change careers with confidence thanks to our money-back guarantee: you’ll receive a job offer within six months, or we’ll refund your full tuition. (See eligibility terms.)
Our team of Employer Partnerships Associates does nothing but evangelize for you. We’re constantly in touch with companies on your behalf, helping them understand the value of hiring a Flatiron School grad, and connect with graduates of the school.
After years of helping students get hired, we’ve developed a proven framework for leading a successful job search. Nearly every single student who has followed these guidelines has been hired.
| Time Until Career-Ready | |||
| Time commitment | |||
| Career Services Support | |||
| 1,000+ Curriculum Hours | |||
| Educational Coaching | |||
| Live Lectures | |||
| Assigned Cohort Lead | |||
| Assigned Peer Group | Average of 20 students | Average of 40 students | |
| Technical Mentorship | One hour weekly | Half-hour weekly | |
| WeWork Hotdesk Membership | |||
| Tuition | £10,800 | £8,800 | £6,500 |
| Money-Back Guarantee |
Dedicated to making our programs more accessible, we offer competitive financing options through Skills Fund and Climb, two industry-leading accelerated learning financing companies.
As a part of our ongoing effort to support diversity in tech, Flatiron is pleased to offer various scholarships to qualified women, minorities, and veterans, as well as merit-based scholarships. Schedule a Q&A with our Admissions team to hear more about our open scholarships.
As a part of our ongoing effort to support diversity in tech, Flatiron is pleased to offer various scholarships to qualified women, minorities, and veterans, as well as merit-based scholarships. Schedule a Q&A with our Admissions team to hear more about our open scholarships.
We don’t just admit individual students to our program; we curate a community. Our students come from myriad backgrounds and previous career paths — ensuring that a diversity of thought, experience and perspective enriches every student’s experience.
Application process
What we look for
Submit a written application. Tell us about yourself and why you want to join our community.
We love data science. We bring together people who see it as a craft and want to be great at it — not just for their careers or as a means to an end, but as an end in and of itself.
Chat with an Admissions Advisor in this explicitly non-technical interview . This is an opportunity for us to get to know each other a little better. Nothing technical — just a friendly conversation.
Flatiron students are driven. While we look for students with an ability to transfer between different skill sets easily — above all, aptitude for data science is built around having an innate curiosity for the world and how people live in it.
After writing and submitting some code on Learn.co, students who apply for the Part-Time or Full-Time course will attend a live session with an instructor to assess your basic understanding of the material covered in our interview prep track. You’ll know if we are moving forward with your enrollment within four business days!
We don’t admit students. We craft a class. A lawyer, journalist, and pro athlete will do more interesting things together than three of any one background.
Submit a written application. Tell us about yourself and why you want to join our community.
Chat with an Admissions Advisor in this explicitly non-technical interview . This is an opportunity for us to get to know each other a little better. Nothing technical — just a friendly conversation.
After writing and submitting some code on Learn.co, students who apply for the Part-Time or Full-Time course will attend a live session with an instructor to assess your basic understanding of the material covered in our interview prep track. You’ll know if we are moving forward with your enrollment within four business days!
We love data science. We bring together people who see it as a craft and want to be great at it — not just for their careers or as a means to an end, but as an end in and of itself.
Flatiron students are driven. While we look for students with an ability to transfer between different skill sets easily — above all, aptitude for data science is built around having an innate curiosity for the world and how people live in it.
We don’t admit students. We craft a class. A lawyer, journalist, and pro athlete will do more interesting things together than three of any one background.
Talk with our admissions team — they’re here to help.
Full-time and part-time courses have specific starting dates, while self-paced students can start at any time.
While there are no prerequisites to our online data science course and we welcome beginners, we do recommend exploring our free Data Science Bootcamp Prep course before applying. It’s important for two key reasons:
That depends on a few important factors. What’s your learning style? Where are you in life right now? What kind of experience are you looking for?
We recommend thinking of it like exercise. Some people just need a pair of sneakers and can run outside. Some people want access to the best equipment so they join a gym, or to be part of a community and they do Crossfit. Some people want to take organized classes, and some need to go away for yoga retreats and focus on nothing but that. Ultimately, there’s no right or wrong way to get fit. It’s about knowing your goals and knowing what brings the best out of you.
The same is true with learning. Do you want a rigid schedule or to learn at your own pace? Do you do better in a quiet environment or surrounded by people? Do you want to focus on this full time or not?
Here are a few other things that may help:
End Goal: All programs are focused on getting you a job as a data scientist after graduation. Although the in-person immersive is based in New York City, each program offers placements all over the United States.
The first step is to fill out a written application. Once submitted, you should hear back from our admissions team on the next step within 2 business days. If your application is chosen to move forward, you will be invited to schedule a video call with a member of the admissions team to get to know you better. After this point, students receive an admissions decision within a few business days. Students must complete a technical interview when applying to the full-time or part-time course pacing options.
Once you have been accepted into the program, you may apply for financing through one of our lending partners. We work with Skills Fund and Climb, who have helped many Flatiron students secure loans. We recommend waiting until after you have been accepted into the program before applying for a loan.