Find more information on the program’s website.
Overview
Join a legacy established by intellectual giants like Jerzy Neyman and David Blackwell to shape the future of statistical science. Consistently ranked as one of the top two graduate programs nationally, the UC Berkeley Statistics PhD offers a comprehensive and deeply collaborative environment that welcomes students with diverse interdisciplinary interests and varying levels of preparation. The five-year program begins with core foundational coursework in advanced probability theory alongside applied and theoretical statistics, before transitioning students into pioneering, independent dissertation research. Backed by the robust computational resources of the Statistical Computing Facility, students enjoy extensive, campus-wide research collaborations spanning technology, medicine, finance, and public policy. For scholars eager to formally bridge academic boundaries, the program features three specialized Designated Emphasis (DE) tracks:
Computational and Data Science and Engineering
Computational and Genomic Biology
Computational Precision Health
Whether your goal is to advance fundamental methodology or solve pressing global data crises, Berkeley equips you to lead at the highest tiers of both academia and industry.