Campus Tour & Info Session | Flatiron School Chicago
Campus Tours & Info Sessions are held several times per week. Please sign up for a date and time that works for you! We're excited to show you our brand new Chicago campus! We'll dive into our history, our three program offerings >> Software Engineering / Data Science / UI + UX Design (powered by our partner Designation), and what makes Flatiron School unique. After touring our space, we'll chat about admissions and how our career services team can help you find a career you'll love in tech. Tours are led by Michelle Peska, Community Lead. Want to connect with our admissions team? Click here to schedule a 10-minute phone call to learn more about our programs. Questions? Reach out to our Chicago team at chicago@flatironschool.com or call (312) 500-4049. Upcoming events: Want to learn more about Flatiron School and connect with our students and staff? Click here to RSVP to an upcoming event on-campus or online. Are you working through our Coding or Data Science Bootcamp Prep Course or prepping for your technical interview? RSVP for our next study session to work with our instructors 1:1. FAQs What are my transportation/parking options for getting to and from the event? Red Line at Grand St (1 block away) | Brown & Purple Line at Merchandise Mart (5 blocks away) Standard Parking at State/Grand St (across the street) Divvy Bike Sharing Station at E Hubbard & N Rush St (3 blocks away) Is there an elevator code and how do I check-in? No elevator code is needed. When entering the building, you can bypass the security desk and head to the 14th Floor. Check in with the WeWork team and let them know that you've arrived for a campus tour with Flatiron School. Someone from the Flatiron School team will meet you on the 14th Floor and take you to our campus. Can I bring a friend? Yes, the more, the merrier! What is Flatiron School? We're a global tech bootcamp with on-campus and online programs that train passionate people to excel in rewarding careers in software engineering, data science and UX/UI design. Learn more.
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