Descriptions and Contact Information

The Statistics Program offers the Master of Arts and Doctor of Philosophy degrees for graduate study and research in statistics and probability. Applied and theoretical courses prepare students for careers in academia, government and industry.

The Program
The Statistics Program has been designed with sufficient flexibility to accommodate the student's background and interests. The Program also offers students from other disciplines an opportunity to select a variety of statistics courses to supplement their own study. Graduate students in this program find that the combination of rigorous classes, faculty-student research interactive teams (RITs), computational statistics and thesis research prepares them well for the job market: all recent graduates have found good jobs in government industry or academia. In particular, the nearby presence of the federal government offers almost unlimited opportunities for graduates with an advanced degree in statistics.

The Faculty
The statistics faculty research interests cover a wide range of topics in both statistics and probability. Typical publications have covered topics such as the following:

Survival Analysis
Stochastic Processes and Their Applications
Nonresponse Adjustments in Census Data
Markov Processes and Partial Differential Equations
Analytical Methods in Statistical Inference
Estimation Theory
Semi-Parametric Models
Time Series and Spatial Data Analysis
Biostatistics
Stochastic Differential Equations

The Research
Students can choose from a wide range of research areas:

statistical decision and estimation theory
biostatistics and analysis of lifetime data
stochastic modeling in biology
robust and nonparametric inference
semi-parametric inference
categorical data analysis
theory and inference for stochastic processes
stochastic analysis
time series and spatial statistics
stochastics and dynamics

Students may concentrate in applied or theoretical statistics or probability by selecting an appropriate sequence of courses and a research area to form an individual plan of study.

The Facilities
The STAT Program cooperates closely with the Mathematics Department and the Applied Mathematics and Scientific Computation (AMSC) Program. STAT faculty members are actively involved in research in applied and theoretical areas of statistics and they maintain close ties with applied scientists in several federal agencies. The Program sponsors a weekly Statistics Seminar. In addition, faculty-student workshops cover topics of current statistical interest. Computing is integrated into the applied courses, and the Program also offers a course "Computational Methods in Statistics." By scheduling many of its applied and Master's level courses in late-afternoon time slots, the Program facilitates and invites part-time graduate study.

The University
In addition to being a vibrant hub of mathematics, science, technology, medicine, and environmental research and policy, the D.C. area's rich and diverse culture make it an especially lively, friendly, accessible community for students to thrive professionally and personally. The campus is "inside the beltway," situated 20 minutes (by convenient Metro ride from College Park) from the heart of the nation's capital.

The University offers unique opportunities for research and collaboration with many neighboring institutions, including:

Department of Defense (DoD)
Environmental Protection Agency (EPA)
Food and Drug Administration (FDA)
National Aeronautics and Space Administration (NASA)
National Center for Health Statistics
National Institute of Standards and Technology (NIST)
National Institutes of Health (NIH)
National Oceanographic and Atmospheric Administration (NOAA)
National Science Foundation (NSF)
Smithsonian Institution, including the National Zoo
United States Department of Agriculture (USDA)
U. S. Census Bureau

More Information
Mathematical Statistics Program
1107 Mathematics Building
University of Maryland
College Park
MD 20742-4015

(301) 405-5058
statgrad@deans.umd.edu

http://www.stemgrad.umd.edu
http://www.stat.umd.edu
http://www.math.umd.edu/statistics