• Currently enrolled undergraduate or graduate pupil
  • Background or sturdy curiosity in information science, statistics, or quantitative analysis
  • Basic data of statistics, math, or programming most well-liked
  • In good tutorial standing with unofficial transcripts out there
  • Able to attend the complete in-person program (June 15 – July 24, 2026)
  • At least one tutorial referee required
  • Proficient in English
  • Personal Statement:The private assertion ought to clearly describe your curiosity within the Big Data Summer Immersion at Yale and clarify how participation will help your academic targets and future profession plans. Maximum size: 2 pages.
  • Curriculum Vitae (CV) or Resume: Your CV or resume ought to spotlight your tutorial achievements, analysis expertise, technical abilities, and any related tasks or internships.
  • Unofficial Academic Transcripts: Applicants should submit unofficial transcripts that replicate their tutorial efficiency thus far.
  • National Institutes of Health (NIH)
  • National Heart, Lung, and Blood Institute (NHLBI), Grant: HL161795-01
  • Yale University Department of Statistics & Data Science
  • Yale School of Public Health
  • Additional beneficiant donors
  • Exposure to real-world massive information purposes
  • Training in quantitative and statistical analysis strategies
  • Mentorship from Yale college and specialists
  • Networking with high-achieving friends from various disciplines
  • Enhanced preparation for graduate research and data-focused careers