Statistics at UCLA has a long history, going back to the 1930’s including the formation of the Department of Biostatistics in Public Health and the Department of Biomathematics within the School of Medicine. In the College of Letters and Sciences, Statistics grew within the Department of Mathematics as the Probability and Statistics group and via the Social Statistics program within the Division of Social Sciences. Through the work of Jan de Leeuw, Don Ylvisaker, Tom Ferguson, Dick Berk, and others, the Department of Statistics was founded in 1998. Aided by the development of the electronic computer, the adoption of statistical methods has grown enormously. Statistical ideas are now the basis for advancing science and commerce through data.
Today the department combines the strengths of mathematical statistics and statistical theory with ideas from domain sciences to form a very modern statistics discipline. In it ideas from the computational sciences, machine learning and data sciences are expressed through our student programs and research.
The best place to get a sense of the program is on the M.S. Program page, which gives detailed description of the program. It describes sequentially the steps toward earning your Masters degree. The focus of the first year is your core courses. Progressively you focus more on your research and Master’s thesis, while still taking elective classes. A detailed description of the program is given in M.S. Program overview, that will be covered during the information session.
Faculty Research Interests
The tenure-track faculty are the research engine of the department. Work through this webpage to get a brief description of their research interests and introduction via videos. Please click on the video links and the websites to get to know the faculty and some of their interests. They are very broad both in terms of the application areas and the theoretical, modeling or computational statistical frameworks. Enjoy!
While research is driven by individual research interests the department also has centers combining one or more faculty. These fields of emphasis are: applied multivariate analysis; bioinformatics (Center for Statistical Research in Computational Biology); computational and computer-intensive statistics; computer vision; cognition; artificial intelligence; machine learning (Center for Vision, Cognition, Learning, and Autonomy); social statistics (Center for Social Statistics); experimental design and environmental statistics.
Campus and Living
To get a sense of the campus here at UCLA, take the Virtual Campus Tour. Note that the virtual tour focuses on undergraduate housing. For more information about graduate housing, please visit UCLA Housing and for a virtual tour of graduate housing please visit Graduate Housing.
9:30am to 10:30am, Friday, April 7th online.
9:30am – 10:30am: Q&A session with Michael Kang and current MS students.
10:30am– Meet with the Graduate Vice-Chair (signup, 1 on 1)
Below is a video of providing an overview of the MS program (Mark and Hongquan)