Quantitative & Computational Biology

The Graduate Program in Quantitative and Computational Biology (QCB) is intended to facilitate graduate education at Princeton at the interface of biology and the more quantitative sciences and computation. Administered from The Lewis-Sigler Institute for Integrative Genomics, QCB is a collaboration in multidisciplinary graduate education among faculty in the Institute and the Departments of Chemistry, Computer Science, Ecology and Evolutionary Biology, Molecular Biology, and Physics. The program covers the fields of genomics, computational biology, systems biology, biophysics, quantitative genetics, molecular evolution, and microbial interactions.

Princeton's QCB program aims to educate the next generation of leaders at the interface of biology with math, physics, chemistry, and computation. We recognize that applicants need not have developed skills in both quantitative science and biology during their undergraduate studies to be future leaders. Accordingly, we strongly encourage applications from those with strong backgrounds either in quantitative science or biology and the desire to learn the other. As quantitative skills reliably translate well across disciplines, we particularly encourage applications from those with undergraduate degrees in math, physics, chemistry, or computer science. Students receive a stipend and tuition that is covered throughout the program.