The purpose of Statistics and Data Science is to design, construct, and evaluate techniques for analyzing data. The data can be of any type — qualitative, quantitative, visual — and be collected through a variety of means through sensors, machines, self-reports, or random samples for scientific, commercial, legal, or policy purposes.

The Department of Statistics and Data Science is devoted to furthering the science of data, and faculty research focuses on statistical and machine learning, computational statistics, computational biology, social statistics, and environmetrics. Both the undergraduate and graduate programs immerse students in theory, application and computation — the foundations of data science.

To assess whether Statistics would be the best fit for you at UCLA, please select this link.

To determine whether you may transfer a course from a public community college or university to UCLA, please select this link. Read the Transferable Courses section located here for more details.