Here’s the link for students to apply: https://disneydataconference.com/scholarship/
And this is the link for the conference: https://disneydataconference.com/home/
Disney Data & Analytics Women Scholarship
Disney Data & Analytics Women offers 4 scholarships to attend a 2-day Disney Data & Analytics Conference in Orlando during August 20-21, 2019. Each scholarship includes registration for the 2019 Disney Data & Analytics Conference, round trip coach-class air transportation from a major commercial airport, near the scholarship recipient’s residence, in the continental United States to Orlando, hotel stay, meals, and a networking lunch dedicated to Disney Data & Analytics Women.
Eligibility
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 February 1, 2019 from an accredited college or university in the United States
- Have a minimum cumulative GPA of 3.0 in your current program
- If selected as a scholarship recipient, agree to present your project at the 2019 Disney Data & Analytics Conference
- Please visit the terms and conditions page for more details
Application Process
Please apply below
Application deadline is Friday, May 31 2019 at 2:59a.m. EDT
- Fill out application form online
- Email a copy of the following items to WDPR.DisneyDataAnalyticsWomen@disney.com. Make sure to use the email address you submit in the online application to send us your information:
- Your current transcript(s) from undergraduate and graduate programs
- An essay of 500 words or fewer on why you are interested in coming to the 2019 Disney Data & Analytics Conference and how you may leverage this experience to explore your interest in data and analytics
- Your resume/CV including details of your education, work experience, and any extracurricular activities and achievements
- A PDF version of a poster (48″x36″ 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.
