Joseph C. Watkins, Ph.D., Chair
Rachael Mattull, Program Coordinator
The Graduate Interdisciplinary Program (GIDP) in Statistics supports and encourages the central role of statistical thinking in the biological, physical, engineering, financial, and social sciences. We provide necessary training for students who wish to develop core expertise in statistical theory and methodology, and also for students who intend to apply their statistical knowledge in practical, transdisciplinary research; targeted subject-matter specialties include biometry, bioinformatics, econometrics, educational statistics, operations research & applied probability, psychometrics, spatial/spatio-temporal analysis, statistical genetics, and stochastic modeling. Courses of study in Statistics for both the M.S. and Ph.D. degrees are available, along with a Ph.D. Minor. Through these offerings the GIDP facilitates and coordinates graduate statistics instruction across the campus, and promotes University-wide activities in the broad areas of both theoretical and applied, interdisciplinary statistics.
The listed Faculty members of the GIDP are involved in the supervision and/or instruction of Statistics graduate students. In addition, the Program has a substantial number of Affiliate Faculty members who are involved in research with a strong statistical component and who can be called upon to be potential research advisors. The combined network of Regular Statistics Faculty and Affiliate Faculty represents a wide breadth of research expertise, creating a unique foundation for interdisciplinary research opportunities in Statistics.
- American Indian Studies
- Applied Biosciences
- Applied Mathematics
- Arid Lands Resource Sciences
- Biomedical Engineering
- Cancer Biology
- Cognitive Science
- Entomology & Insect Science
- Global Change
- Physiological Sciences
- Remote Sensing & Spatial Analysis
- Second Language Acquisition & Teaching