The rush is on for data scientists who can mine data and discover the wealth that it contains. Data scientists in applied statistics collect, organize, display, analyze and infer from data. Applied statistics is doing what counts! At CBU, you will work side-by-side with full-time professors with real world experience. Using state-of-the-art computers and software, you will analyze local and global life-changing issues and apply your results to save lives and help people.

Basic concepts of analytical geometry, limits and derivatives, differentials and rates, integration, definite and indefinite integrals, differentiation of logarithmic and exponential functions. Prerequisites: MAT 135, 145, EGR 182, or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (4 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
MAT245-A
Willett, Robert James
05/06/2024 - Online
MAT245-B
Eatinger, Austin Chase
09/03/2024 MWF 9:30 AM - 10:30 AM Park Building ONLN
MAT245-A
Eatinger, Austin Chase
09/03/2024 MWF 8:15 AM - 9:15 AM Park Building ONLN
MAT245-A
Willett, Robert James
01/13/2025 MWF 8:15 AM - 9:15 AM Park Building ONLN
MAT245-B
Willett, Robert James
01/13/2025 MWF 9:30 AM - 10:30 AM Park Building ONLN
MAT245-A
Willett, Robert James
05/05/2025 - Online

Mathematical theory and applications, development of formulae, principles of statistical decision theory, descriptive measurements, probability concepts, random variables, normal distribution, inferential statistics, sampling distributions, confidence intervals, hypothesis testing, chi-squared procedures, linear regression, and the use of computers in statistics. (3 units; Fall, Spring, & Online)

InstructorStart DateDaysTimeLocation
STA144-A
Carothers, Linn E.
05/06/2024 - Online
STA144-A
Carothers, Linn E.
09/03/2024 MWF 12:00 PM - 1:00 PM Mission Hall 126
STA144-B
Carothers, Linn E.
09/03/2024 MWF 1:15 PM - 2:15 PM Mission Hall 126
STA144-C
Nielsen Hernandez, Michelle
09/03/2024 MWF 9:30 AM - 10:30 AM Mission Hall 125
STA144-D
Tsay, Kora K.
09/03/2024 TTh 8:45 AM - 10:15 AM Park Building 252
STA144-E
Blueford, Luke E.
09/03/2024 MWF 2:30 PM - 3:30 PM Yeager Center B220
STA144-C
STAFF, STAFF
01/13/2025 TTh 8:45 AM - 10:15 AM TBA
STA144-A
Carothers, Linn E.
01/13/2025 MWF 12:00 PM - 1:00 PM TBA
STA144-B
Carothers, Linn E.
01/13/2025 MWF 1:15 PM - 2:15 PM Park Building 203
STA144-A
Carothers, Linn E.
05/05/2025 - Online
STA144-B
Carothers, Linn E.
06/30/2025 - Online

This course represents a basic concepts and methodology course in regression analysis using application of general linear regression models to real-life situations. Case studies are used to give practice in diagnosing practical problems, deciding on appropriate models, and knowing which inferential technique will answer the researcher’s questions for the purposes of description and prediction. Regression models and model building typical of problems used in the social and behavioral sciences, the natural and health sciences, and many other disciplines are covered. Prerequisite: STA 144 or MAT 245. (3 units; Spring, even years)

InstructorStart DateDaysTimeLocation

An introduction to data mining, management and statistical programming techniques using comprehensive and widely available tools like SAGE, SPSS, SAS and R. Students learn exploratory data analysis, coding and manipulation of variables, database management applying statistical concepts. Modeling and simulation experiments on a variety of applied data sets. Pre- or Co- Requisite: STA 144. (3 units; Fall)

InstructorStart DateDaysTimeLocation
STA210-A
Noh, Heewon Esther_AKA:_Esther_L
09/03/2024 MWF 10:45 AM - 11:45 AM Park Building 251

The first semester of a two-semester course providing a systematic development of the theories of probability and statistics. Students learn and use fundamental concepts of probability models, random variables and their distributions, reduction of data, estimation, testing of hypotheses, univariate normal inference, and statistical decision theory. The first semester is required for BA and BS statistics majors of all concentrations. Prerequisites: MAT 245, and one of the following: EGR 120, 121, or STA 144. (3 units; Fall)

InstructorStart DateDaysTimeLocation
STA310-A
Noh, Heewon Esther_AKA:_Esther_L
09/03/2024 TTh 12:15 PM - 1:45 PM Park Building 125

Second semester course in a systematic development of the theories of probability and statistics. Topics include analysis of categorical data, multivariate distributions, nonparametric inference, linear models and analysis of variance. As time permits, the theory underlying Markov chain, Monte Carlo, quasi-likelihood, empirical likelihood, statistical functionals, generalized estimating equations, the jackknife, and the bootstrap are addressed. Prerequisite: STA 310. (3 units; Spring)

InstructorStart DateDaysTimeLocation
STA311-A
Noh, Heewon Esther_AKA:_Esther_L
01/13/2025 TTh 12:15 PM - 1:45 PM James Complex 375

Complete 6 units from the following:

This course studies experimental designs with corresponding models and analyses critical for students in the empirical sciences. Course topics include estimation, test of hypothesis, analysis of variance and a variety of topics in experimental design. Decisions and practical considerations which minimize experimental error and avoid confounding results are dealt with in real life contexts. Prerequisite: STA 144. (3 units; Fall, odd years)

InstructorStart DateDaysTimeLocation

Sampling theory and practice are presented in this course through a study of simple random samples, stratified random samples, cluster sampling, estimating sample size, ratio estimates, subsampling, two-state sampling and analysis of sampling error. This is a critical course for students in education and the social, medical, biological and management sciences where sampling is a fundamental step in virtually every statistical procedure and critical to meaningful survey research. Prerequisite: STA 144. (3 units; Fall, even years)

InstructorStart DateDaysTimeLocation
STA305-A
Noh, Heewon Esther_AKA:_Esther_L
09/03/2024 TTh 8:45 AM - 10:15 AM Yeager Center B222

This course provides the tools to create and critically evaluate data visualizations. Focus will be on statistical graphics, graphics that display statistical data. Additionally, recent advances in the field of information visualization will be covered. Prerequisite: STA 144 or MAT 245. (3 units; Spring, even years)

InstructorStart DateDaysTimeLocation

A course to introduce statistical models of advanced least squares regression and standard ANOVA techniques and extensions to categorical data. Students will conceptually understand linear mixed effects models, log linear and generalized linear models for count data; and survival models for the analysis of lifetime data. In addition, students will apply these models to real data, to discern patterns and conclusions, and present their results. Prerequisite: STA 210, EGR 120, or 121. (3 units; Fall, even years)

InstructorStart DateDaysTimeLocation
STA362-A
Noh, Heewon Esther_AKA:_Esther_L
09/03/2024 TTh 2:00 PM - 3:30 PM Park Building 253

A course in application of parametric and nonparametric single and multivariable data analytic techniques to sports. Topics will include: linear regression, correlation, confounding and interactions, variable selection, categorical predictors and outcomes, logistic regression, factor analysis, discriminant analysis, and regression techniques with longitudinal data. Prerequisite: STA 210, EGR 120, or 121. (3 units; Spring, odd years)

InstructorStart DateDaysTimeLocation
STA364-A
Noh, Heewon Esther_AKA:_Esther_L
01/13/2025 TTh 10:30 AM - 12:00 PM James Complex 375