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
- data and statisticsdescription: "data science" and 2 more
- research methodsAI review: "interdisciplinary research projects"
- leadershipAI review: "teamwork, project management"
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
- Design Your Own Social and Behavioral Research IDS 306S
- Practical Data Science II IDS 541
- Applied Machine Learning IDS 542
- Introduction to Data Science and Quantitative Methods in Risk Management IDS 583
- Data Science and Decision Optimization in Banking & Financial Services IDS 586
- Credit Risk Modeling IDS 598-01