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Data Science
in San Francisco

Launch a career as a data scientist in San Francisco.

Upcoming

Program Dates

San Francisco

Attend the most comprehensive data science bootcamp in San Francisco

At Flatiron School, we teach today’s in-demand tech skills, through our dynamic, immersive courses taught by experienced, passionate industry professionals online and on WeWork campuses around the world. But we don’t stop there — we pair an industry-leading curriculum with dedicated Career Services professionals who are committed to helping you find a job you love.

Curated Community

We’ve been building communities of learners since 2012. Build your network as well as your knowledge with a diverse, supportive group of peers committed to growth and change.

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Passionate Instructors

Our instructors have both industry and teaching experience and are backed by our Master Teachers and Learning Experience Designers to ensure you get the best possible support.

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Money-Back Guarantee

Change careers with confidence thanks to our Money-Back Guarantee. Work with a Career Coach and follow our proven-job search framework, and get a job within 6 months, or your money back (see terms).

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The WeWork Classroom

Studying inside our WeWork campuses, you’ll learn data science while becoming part of WeWork's global community and enjoy complimentary amenities: high-speed WiFi, 24/7 building access, craft beer on draft, conference rooms, phone booth — plus fancy fruit water and micro-brewed coffee to help you focus!

Where our graduates work

Logo: Facebook
Logo: Apple
Logo: Google
Logo: Microsoft
Logo: NASA
Logo: Etsy
Logo: Kickstarter
Logo: New York Times
Logo: Spotify
Logo: IBM

What you'll learn: data science & machine learning

Cutting-edge curriculum

Our Curriculum Designers make complex concepts accessible, providing you with a strong foundation and instruction on the latest technologies. And with our focus on project work and learning how to learn, you’ll build the skills required to build a lifelong career as a professional data scientist.

Start thinking like a data scientist

Our program provides students with the tools, skills, and expertise necessary to think and work as a data scientist. Working in a WeWork with our seasoned instructors, you’ll master a mix of software engineering and statistics, then apply both skills in new and challenging domains. Our approach ensures both readiness for today’s job market and the skills required to stay relevant into the future.

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Our program moves quickly and our students embrace that challenge. No experience beyond high school algebra and comfort with computers is necessary to apply. But we require students to demonstrate the aptitude to learn data science by completing our pre-work before day one. The prework also introduces you to foundational math and Python programming skills required to succeed in the course.

Join the fastest-growing corner of the tech industry

More than ever before, companies are relying on data to make business decisions. Without data science, these industry trends stay undiscovered — no story to tell and no insights to share. In order to determine business goals, more and more companies are looking for data scientists to fill in the gaps. Data science is one of the fastest-growing and highest-paying sectors of the tech industry.

650%

Growth in Data Science Jobs Since 2012

The course will qualify you for a position as a data scientist or a data analyst. If you have a professional background in programming, you may also be able to get a position as a data engineer or a machine learning engineer.

Meet your instructors

At Flatiron School, we believe that great teachers inspire us to understand topics on a profound level and inspire us to become continual learners. With experience both in the field and in the classroom, our data science instructors are dedicated and thorough. Simply put: Flatiron School students learn from the best.

Headshot of Alison Peebles: Lead Instructor
Alison Peebles
Lead Instructor

Alison has private and public sector experience as a statistician, consultant, and Data Scientist. She’s taught data mining and built curriculum at Carnegie Mellon for the Masters of Science in Information Technology students.

Headshot of Lore Dirick: Curriculum Writer
Lore Dirick
Curriculum Writer

Lore earned her PhD in Business Economics and Statistics at KU Leuven, Belgium and has a thorough background building out R and Python data science curriculum.

Headshot of Mike Kane: Curriculum Writer
Mike Kane
Curriculum Writer

A long-time instructor, Mike has taught data science on both coasts and developed curriculum for Machine Learning and iOS Development. He has an M.S. in Applied Science from Syracuse University.

Land a job in six months or less

At Flatiron School, you won’t just learn data science. You’ll also learn how to be an effective job seeker and no-brainer tech hire. With one-on-one career coaching, a robust employer network, and a proven job search framework, our Career Services team is committed to helping you land the job you want.  

Individual Career Coaching
Individual career coaching

During your job search, you’ll meet weekly with your dedicated career coach. Coaches help with everything from résumé review to interview prep, and help you tell your story to get the job you want.

Money-Back Guarantee
Money-back guarantee

Change careers with confidence thanks to our Money-Back Guarantee. If you graduate, follow our job search process, and don’t secure a job within 6 months, we’ll refund your tuition in full (see details).

Vast Employer Network
Vast employer network

We’ve built relationships with hiring managers at top companies across the nation, creating a robust employer pipeline for Flatiron School grads. Our Employer Partnerships team is constantly evangelizing our grads and helping you get in the door.

 A Proven Job Search Framework
Proven job-search framework

Through 1:1 guidance from our Career Coaching team and our tried-and-true job-search framework, you’ll gain the skills and support you need to launch your career.

Take the leap and start your journey

Flatiron School curates a community by admitting students who bring creativity, ingenuity, and curiosity to the classroom.

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Step 1 → Apply

Submit your application. Share a bit about yourself and what’s driving you to start a career in code.

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Step 2 → Admissions interview

Speak with an Admissions Advisor in a non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical — just a friendly conversation.

What do we look for in a student?

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Step 3 → Technical review

After writing and submitting some code on Learn.co, you’ll attend a live interview session with an instructor to assess your understanding of the material covered in the pre-work.

What is a Technical Review?

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Step 4 → Admissions decision

Receive your acceptance decision from Admissions. This usually happens within four business days.

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Step 5 → Prework

If accepted, you'll begin course pre-work to prepare for the first day of class.

Join us on campus

Program Dates
Cohort Start DateStatus

Find the right tuition plan for you

Loan

Finance for as low as

$

529/mo

(for 36 months + $1K deposit)

Dedicated to making our programs more accessible, we offer competitive financing options through Skills Fund and Climb, two industry-leading accelerated learning financing companies.

Pay Upfront

Full Tuition

$

17,000

ISA

The Flatiron School ISA: Pay After You Get Hired

Defer your tuition with the Flatiron School Income Share Agreement (ISA). After a refundable payment when you enroll, the remainder of your tuition is paid once you’ve left the program and are getting paid at least a minimum income.

Frequently asked questions

Can I apply for financing?

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.

Can I chat with someone on the Admissions team?

Absolutely! You can schedule an appointment with someone from the Admissions team here.

Do I need a computer?

For the in-person courses, we work on Mac laptops with the latest OS installed. If you don’t have one already, we can provide a loaner. For online courses, you do need your own computer, but it can be either a Macbook or a PC. You can view the minimum required technical computer specs for all courses here.

I was admitted to a cohort but can’t start until next month, can I defer my enrollment?

We recognize that sometimes “life happens” and that students who have been admitted to one class may need to defer and start with us at a later date. Students may defer up to three start dates beyond the class to which they are admitted. If you must defer farther out than that, we may ask you to repeat some or all of the admissions process to ensure your readiness for the later start date. Students may defer only once without reapplying.

I wasn’t admitted the first time around, can I re-apply?

Flatiron School’s application process is rigorous, and sometimes students who don’t get accepted the first time around are able to ‘study up’ and get accepted the second time around. As such, students are invited to re-apply after three months have passed from initial decision. Students are permitted a total of three application attempts, so re-applicants are advised to use that time building their skills (both professional and technical) and to submit a second application that is materially different from the first one, showcasing your hard work and improvements over that time.

Is there a deadline to apply?

Admissions are conducted on a rolling basis, so we continue to accept new applications until the course is filled. So, no deadline to apply — but the sooner you get your application in, the faster we can prioritize it. Our classes fill up well in advance of the start date, so we recommend applying at least 8 weeks before your desired start date. This allows 2–3 weeks for the application process and accounts for time to complete the required 100 hours of pre-work.