About Our Graduate Program
The Department of
Statistics offers an exciting and revamped graduate program that prepares
students for cutting-edge interdisciplinary research in a wide variety of
fields. The field of statistics has become a core component of research in the
biological, physical, and social sciences, as well as in traditional computer
science domains such as artificial intelligence. In light of this, the
Department of Statistics is currently undergoing a major expansion of
approximately ten new faculty into fields of Computational
and Applied Mathematics. The massive increase in the data acquired, through
scientific measurement on one hand and through web-based collection on the
other, makes the development of statistical analysis and prediction
methodologies more relevant than ever. Our graduate program aims to prepare
students to address these issues through rigorous training in theory,
methodology, and applications of statistics, rigorous training in scientific
computation, and research projects in core methodology of statistics and
computation as well as in a wide variety of interdisciplinary fields.
Department of Statistics offers two tracks of graduate study, one leading to
the Master of Science (M.S.) degree, the other to the Doctorate of
Philosophy (Ph.D.). The M.S. degree is a professional degree—students who
receive this degree are prepared for nonacademic careers in which the use of
advanced statistical and computational methods is of central importance. The
program also prepares students for possible further graduate study.
the first year of the Ph.D. program, students are given a thorough grounding in
material that forms the foundations of modern statistics and scientific
computation, including data analysis, mathematical statistics, probability theory,
applied probability and modeling, and computational methods. Throughout the
entire program students attend a weekly consulting seminar where researchers
from across the University come to get advice on modeling, statistical
analysis, and computation. This seminar is often the source of interesting and
ongoing research projects.
the second year, students have a wide range of choices of topics they can
pursue further, based on their interests, through advanced courses and reading
courses with faculty. During the second year, students will typically identify
their subfield of interest, take some advanced courses in the subject, and
interact with the relevant faculty members. The Department maintains very
strong connections to numerous other units on campus, either through joint
appointments of the faculty or through ongoing collaborations. Students have
easy access to faculty in other departments, which allows them to expand their
interactions and develop new interdisciplinary research projects. Examples include
joint projects with Human Genetics, Ecology and Evolution, Neurobiology,
Chemistry, Economics, Health Studies, and Astronomy.
- 12.31.12 The online application site is now closed.
- 9.20.12 The new online application site is available for applications.
to the Department
Faculty Research Domains