Summer Institute for Training in Biostatistics and Data Science at Columbia
Summer Training Institute in Biostatistics and Data Science at Columbia (SIBDS@Columbia) is an innovative seven-week summer research training program where participants acquire and hone quantitative skills anchored on data immersion related to research challenges in studies of heart and lung diseases as well as infectious diseases. The seven weeks include a one-week asynchronous component during which participants will receive an introduction to biostatistics and data science as well as training on RStudio and other software.
In the seven-week hybrid training module, participants will:
- Learn from world-renowned faculty with expertise and extensive funded research in several key areas of biostatistics and data science
- Develop an analytic “toolbox”, including exposure to state-of-the-art design and analytic methods and training in the use of statistical software.
- Synthesize and apply these tools via immersion in a mentored data analysis project using NHLBI and NIAID datasets
- Attend seminars that will expose them to advanced methods and challenging research questions in biostatistics and data science
- Receive training in the responsible conduct of research
- Receive guidance on the graduate school admissions process
- Interact with participants of other Mailman undergraduate summer research programs
Educational and Financial Benefits
- Earn college credit
- No fees or tuition costs
- Free housing and most meals covered by the program
- SIBDS@Columbia will run in Summer 2024 from Tuesday May 28th – Friday July 12th. The program will be asynchronous May 28th – May 31st, with a move-in date of June 2nd for the on-campus portion of the program.
- The application deadline for Summer 2024 is March 15th, 2024
SIBDS@Columbia is funded by NIH grant R25HL161786
Apply to SIBDS@Columbia
Application deadline, requirements, and instructions for applying to the SIBDS program.
The Department of Biostatistics is dedicated to addressing high priority public health and biomedical issues and driving scientific study.