Statistical Modeling

Key Faculty: Don Brown, Ginger Davis, Michael DeVore, Roman Krzysztofowicz


Area Description: In the information age, a plethora of data requires more and more people with the required skills to analyze that data. With a concentration in statistical modeling, one can gain the necessary skills for not only analyzing the data but also making informed decisions based on the analysis. The tools you will learn will provide you the opportunity to seek optimal solutions applicable across a wide range of applications. Specifically, your education will involve 1) mathematical concepts that are central to the modeling, design, and analysis of large data sets and complex dynamical systems, 2) learning to take into account uncertainty in your decision making, and 3) methods for understanding, representing, and visualizing data.
Potential Courses: partial listing, see Key Faculty for details
SYS 605 Stochastic Systems
SYS 613 Multivariate Statistics
SYS 618 Data Mining
SYS 682 Statistical Pattern Recognition
SYS 730 Time Series Analysis
ECE 611 Probability and Stochastic Processes
ECE 781 Pattern Recognition
Job Opportunities

Business/industry, the government, scientific research firms, and education all have needs for the statistical modeler. You can combine your interest with almost any other field including (but not limited to): biology, computer science, economics, engineering, finance, medicine, insurance, law, manufacturing, marketing, political science, sociology, and sports. Specific jobs include business analyst, software engineer, risk analyst, quality analyst, investigator, researcher, data analyst, and project manager.