Spring or Fall Internship

Description from DukeHub

Open to graduate students engaging in practical experience in statistical applications through internships in industry or government during Spring or Fall semesters. A final report outlining work activity, statistical aspects of the internship, and possible follow-up projects is required. Requires consent from the related Program Director. An internship is available to graduate students if it allows them to gain practical experience in a work environment related to their academic training and enhances their overall academic experience and, for students on an F-1 Visa, their employment prospects once they return to their home country. Credit/no credit grading only.

Skills

• data and statisticsdepartment: STA

AI-resilient: 0 of 5 0/5

• 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 STA

• Data Analysis and Statistical Inference STA 101L
• Studying Incarceration with Data STA 116CNL
• Introduction to Data Science and Statistical Thinking STA 199CCL
• Regression Analysis STA 210L
• Regression Analysis: Theory and Applications STA 221L
• Statistical Computing STA 323L

All STA courses · All of Graduate School