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Statistical science consists of a body of tools, concepts, and algorithms for collecting, analyzing, and interpreting data. It is an integral part of ISyE, where engineers are trained in understanding the system by collecting and analyzing data. Learning statistics enables one to efficiently and cost-effectively gather data and build empirical models to describe and understand the performance of the system that can be used for prediction, control, optimization, and decision-making.

Fundamental Research Areas

Our statistics faculty at ISyE is involved in fundamental research in almost all aspects of statistics including:

  • Bayesian Statistics
  • Data Mining
  • Design of Experiments
  • Nonparametric Methods
  • Regression Analysis
  • Statistical Computing
  • Statistical Inference
  • Time Series Analysis

Main Application Areas

  • Quality and Reliability Engineering
  • Health Informatics
  • Logistics
  • Advanced Manufacturing