Statistical Science
Why Statistical Science?
Students and faculty in statistical science at UC Santa Cruz conduct world-class, interdisciplinary research in the foundations and applications of statistics and data science. We collaborate with computer scientists, mathematicians, physicists, social scientists, ecologists, biologists, and medical doctors to develop novel methodologies that advance our ability to make decisions based on data in the context of high-impact, real-life applications. Research is funded by various federal agencies, and published in the leading statistics journals.
Our programs allow students to develop and apply statistical methods to assess the variability in different data structures —knowledge used to quantify the uncertainties inherent in the discoveries, summaries, and conclusions drawn from data analysis. The Ph.D. program provides mastery of fundamental concepts in statistical theory and methods, along with analytical and computational skills to build and implement modern statistical models, and effectively communicate results. The M.S. program emphasizes the application of statistical methods to solve scientific, technological, and engineering problems, preparing students for professional careers. An accelerated 4+1 bachelor’s/master’s pathway is also available for UCSC undergraduate students. For questions about the application process, contact the graduate advisor. For inquiries about the curriculum or faculty research, contact the graduate director.
4+1 Pathway to STATS
The Department of Statistics offers a 4+1 statistical science bachelor’s/master’s pathway. Undergraduate students in certain majors can apply to the pathway in order to earn a B.S. degree in their own major together with an M.S. degree in statistical science. Depending on the student’s progress, the B.S./M.S. pathway can be completed in five years.
Statistical Science at UC Santa Cruz spans multiple research areas
Bayesian methods
Biostatistics
Correlated data
Design and sampling
Mathematical statistics
Probability
Regression methods
Stochastic processes
Meet your STATS advising team
Drop-in advising hours
Tuesday – Thursday, 1:00pm – 3:00pm, in person (location: E2-595)
Wednesday, 1:00-pm – 3:00pm, in person (location: Westside Research Park)
Graduate Director
