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Courses / Graduate School / IDS

IDS 798 · also STA 698

Capstone Project

Zhongyuan Yu

Description from DukeHub

The goal for this year-long capstone is for students to be integrated into world-class interdisciplinary research projects that can solve real-life problems and be significantly advanced through data science. Guided by a faculty advisor, each student will work with a client (e.g. a company, government agency, or nonprofit) on this research project. The project will provide opportunities to hone students' teamwork, project management, creative problem solving, and communication skills as they apply and further develop their data science expertise. The final deliverables will be evaluated by faculty and relevant stakeholders. Open only to Interdisciplinary Data Science students.

Skills

AI-resilient: 0 of 5

  • No: Physical, lab or field work
  • No: Live work with people
  • No: Judgment someone is accountable for
  • No: A craft you practice with your hands or body
  • No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

More in IDS

All IDS courses · All of Graduate School