Disney Data & Analytics Women offers 4 awards to attend a 2-day Disney Data & Analytics Conference in Orlando during November 30 - December 1, 2021.
Each award includes registration for the 2021 Disney Data & Analytics Conference, round trip coach-class air transportation from a major commercial airport in the continental United States,
near the award recipient's residence to Orlando, hotel stay at Disney's Coronado Springs Resort, meals, and a networking lunch dedicated to Disney Data & Analytics Women.
TRIP MUST BE TAKEN NOVEMBER 28, 2021 THROUGH DECEMBER 2, 2021.
We invite applications from talented students who are:
- Curious, creative, and interested in exploring careers in data & analytics
- 18 years of age or older
- A legal resident of the 48 continental United States or D.C.
- Currently enrolled in an undergraduate or graduate program or have graduated on or after December 1, 2020 from an accredited college or university in the United States
- Have a minimum cumulative GPA of 3.5 in your current program
- If selected as an award recipient, participant agrees to present their project at the 2021 Disney Data & Analytics Conference
- Please visit the terms and conditions page for more details
Please apply below
Application deadline is Wednesday October 06, 2021 at 2:59a.m. EST
- Fill out application form online
- Submit the following items to the application:
- Your resume/CV including details of your education, work experience, and any extracurricular activities and achievements.
- Current official or unofficial transcript(s) from undergraduate or graduate program
- An essay of 500 words or less on why you are passionate about data & analytics and women in STEM roles.
- A PDF version of a poster (36"x24" horizontal) summarizing an original Do-It-Yourself quantitative analytics project you have previously developed with the following components: problem to solve; methodology; citations of all data sources used; and results. Your project can be for a class, math/programming competition, or just for fun. Results can take forms such as a mobile app, a website, a prediction model, or some statistical results that give insight/guidance into your research question. Your project must use mathematical models, statistical tests, and/or machine learning and must be testable and reproducible.