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Goals:

(1) To give the graduates of this program an appropriate combination of statistical and environmental systems backgrounds so that they may have successful technical careers in environmental organizations and companies or successful academic careers doing research in environmental statistics
(2) To train academic environmental statisticians who can serve as better bridges between the academic and corporate worlds.

Program:

While meeting the general course requirements for the PhD in statistics, the student in the Environmental Track will have taken all of the following courses:

STAT 5304: Statistical Computing
STAT 5414: Time Series Analysis I
STAT 5504: Multivariate Statistical Methods
STAT 5444: Bayesian Statistics
STAT 5544 Spatial Statistics

Students in the Environmental track are required to take three 6000-level courses in statistics in addition to STAT 6114 (Advanced Inference). The remaining three courses can currently be chosen, with consent form the advisor, from the following courses:

STAT 6424: Multivariate Statistical Analysis
STAT 6514: Advanced Topics in Regression
STAT 6494: Advanced Topics in Mathematical Statistics
STAT 6504: Experimental Design & Analysis II
STAT 6404: Advanced Topics in Nonparametric Statistics
STAT 6414: Time Series Analysis II

Also, the student will be expected to complete advanced course work in appropriate areas of concentration, to be chosen by the student in conjunction with his advisory committee. Thus, as an additional requirement, students are required to take three 5000-level courses in the electives from partnering departments.
Possible courses are listed below:

Biology

5024: Population & Community Ecology
5034: Ecosystem Dynamics
5044: Aquatic Ecotoxicology
5054: Hazard Evaluation of Toxic Chemicals

Civil Engineering

5104: Environmental Chemistry
5714: Surface Water Quality Modeling
5184: Techniques for Environmental Analysis
5194: Environmental Engineering Microbiology
5204: Gis Applications in Civil Engineering
5214: Analysis of Imaging Engineering
5224: Adv. Gis Applications in Civil & Environmental Engr.
5324: Advanced Hydrology
5334: Analysis of Water Resources Systems
5344: Environmental Systems Optimization
5354 (GEOL 5814): Numerical Modeling of Groundwater
5364: Water Law

Biochemistry

4204: Biochemical Toxicology
5124: Probability Models in Agricultural Engineering
5144 (CEE 5064): Knowledge-Based Expert Systems
5304: Nonpoint Source Poll
5354: Nonpoint Source Pollution Modeling
4144: Biological Systems Simulation
4304: Nonpoint Source Pollination Modeling & Management

Crop Soil & Environmental Science

5364: Soil Chemistry
5694 (BIOL 5694): Soil Biochemistry
4134: Soil Genesis & Classification
4734 (ENSC 4734): Environmental Soil Chemistry

Entomology

4354 (BIOL 4354): Aquatic Entomology
6164: Insecticide Toxicology
6254: Population Modeling of Insect Systems

Fisheries

5214: Wildlife Population & Habitat Analysis
5224: Wildlife Population Dynamics
5734: Fisheries & Wildlife Planning
5514: Fish Population Dynamics & Modeling
5624: Fish Health

Forestry

5104 (GEOG 5104): Seminar in Remote Sensing & Geographic Information Systems
5214: Advanced Forest Inventory
5224: Forest Biometry
5254: Remote Sensing of Natural Resources

Geography

5034: Analysis of Spatial Data
5104 (FOR 5104): Seminar in Remote Sensing & Geographic Information Systems
5314: Advanced Spatial Analysis in Geographic Information Systems