The Department of Statistics and Applied Probability (DSAP) was established in 1 April 1998 with the goals to advance statistical and data science, and, ultimately by its application, to improve and provide adequate services to our community. The department offers two Bachelor of Science degrees; in Statistics and, Data Science and Analytics. In addition, DSAP also offers degrees at both Masters and doctoral levels.
In addition to offering a Bachelor of Science degree in Statistics, DSAP also offers degrees at both Master’s and doctoral levels. These programs are appropriate for the student who has a mathematical or statistics background. The undergraduate curriculum offers students the most needed probability and statistical knowledge; the graduate program prepares them to conduct research and scientific investigations in collaborative environments. The research concentrations include both methodological and applied areas. The methodological research areas include linear and generalized linear models, longitudinal data and time series models, categorical data models, nonparametric methods, clustering analysis, classification and regression based on recursive partitioning, functional modeling involving high dimensional data structures, data visualization techniques, survival analysis, stochastic modeling, Bayesian methods, missing data, computationally intensive statistical techniques such as the bootstrap, empirical likelihood and Monte Carlo Markov Chain, spatial-temporal models and bioinformatics. The current applied research concentrations are in the areas of quality control in engineering, marketing research, finance, economics, survey methodology and statistical genetics.
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