Baylor STA: Statistics
STA 1380: Elementary Statistics
3 credit hours · 6 sections · 300 open seats · Aaron Friedlander, Bailey Sims, Matthew Farnsworth, Amy Maddox and 1 more
Introduction to traditional statistical concepts including descriptive statistics, binomial and normal probability models, tests of hypotheses, linear correlation and regression, two-way contingency tables, and one-way analysis of variance. Credit may not be o…
STA 2310: Data Communication with AI
3 credit hours · 1 section · 20 open seats · Joshua Patrick
Prepares students to transform data into compelling stories and visualizations while learning to use generative AI responsibly. Topics include cleaning, summarizing, and graphing real data sets, using AI tools to draft and critique narratives, and building rep…
STA 2381: Intro Statistical Methods
3 credit hours · 5 sections · 270 open seats · Joshua Patrick, Rakheon Kim, Eva Murphy, Jeanne Hill
Prerequisite(s): A grade of C or above in MTH 1321. Parametric statistical methods. Topics range from descriptive statistics through regression and one-way analysis of variance. Applications are typically from biology and medicine. Computer data analysis is re…
STA 3101: Professional Development
1 credit hours · 1 section · 10 open seats · Jeanne Hill
Prerequisite(s): STA 3381. A one-hour course that prepares junior-level students for professional pathways including actuarial science, graduate school, sports analytics, and data science. Students will develop professional materials, learn career relevant com…
STA 3311: Sports Analytics II
3 credit hours · 1 section · 19 open seats · Joshua Patrick
Prerequisite(s): STA 3310. Delves deeper into sports analytics, emphasizing sophisticated statistical models and data manipulation techniques to refine predictions and strategies in sports settings.
STA 3381: Probability and Statistics
3 credit hours · 4 sections · 111 open seats · Jeanne Hill, Xueying Liu
Prerequisite(s): A grade of C or above in MTH 1322. Introduction to the fundamentals of probability, random variables, discrete and continuous probability distributions, expectations, sampling distributions, topics of statistical inference such as confidence …
STA 3V9R: Research
Variable credit hours · 1 section · 0 open seats · Jeanne Hill
Prerequisite(s): Consent of the instructor. Undergraduate research undertaken with the supervision of a faculty member. May be taken for a maximum of 6 hours.
STA 4360: Bayesian Data Analysis
3 credit hours · 1 section · 30 open seats · James Stamey
Prerequisite(s): STA 3381. An introduction to Bayesian inference emphasizing prior and posterior distributions, estimation, prediction, hierarchical Bayesian analysis, and applications with computer implemented data analysis. An introduction to Bayesian infere…
STA 4372: Introduction to Biostatistics
3 credit hours · 1 section · 30 open seats · Jonathan Odumegwu
Prerequisite(s): STA 2381 or STA 3381 or consent of the instructor. Data Analysis for biostatisticians in the biomedical and pharmaceutical fields.
STA 4373: Computational Methods in STA
3 credit hours · 1 section · 10 open seats · Jonathan Odumegwu
Prerequisite(s): STA 2381 or STA 3381 or consent of the instructor. Computational methods using statistical packages and programming.
STA 4386: Mathematical Statistics II
3 credit hours · 1 section · 29 open seats · Jeanne Hill
Prerequisite(s): STA 4385 with minimum grade of C. Theory of statistical estimation and hypothesis testing. Topics include point and interval estimation, properties of estimators, properties of test of hypotheses including most powerful and likelihood ratios …
STA 43C9: Capstone Statistics Course
3 credit hours · 1 section · 19 open seats · Rakheon Kim
Prerequisite(s): STA 3386 and senior standing. Statistical concepts applied to written and oral reports for consulting. For students majoring in statistics.
STA 5300: Statistical Methods
3 credit hours · 1 section · 39 open seats · Amy Maddox
Introduction to descriptive and inferential statistics. Topics may be selected from the following: descriptive statistics and graphs, probability, regression, correlation, tests of hypotheses, interval estimation, measurement, reliability, experimental design,…
STA 5303: Applied Regression Analysis
3 credit hours · 1 section · 19 open seats · Rodney Sturdivant
Prerequisite(s): STA 5300 or equivalent Regression modeling, estimation, and diagnostics with emphasis on applications. Topics include simple linear regression, multiple regression, logistic regression, and Poisson regression. The statistical programming lang…
STA 5353: Theory of Statistics II
3 credit hours · 1 section · 12 open seats · Joon Song
Prerequisite(s): STA 5352. Topics include sampling distributions, likelihood and sufficiency principles, point and interval estimation, loss functions, Bayesian analysis, asymptotic convergence, and test of hypothesis.
STA 5373: Computational Stat Methods
3 credit hours · 1 section · 10 open seats · Jonathan Odumegwu
Prerequisite(s): STA 2381 or STA 5300 or an equivalent course in statistical methods. Methods, programming, and algorithms used in computational statistics; topics include, but are not limited to, Monte Carlo simulation, bootstrap, cross-validation, and MCMC. …
STA 5376: Methods in Biostatistics
3 credit hours · 1 section · 15 open seats · Jonathan Odumegwu
Prerequisite(s): STA 2381 or STA 5300, or an equivalent course in statistical methods. A survey of methods of data analysis for biostatisticians in the biomedical and pharmaceutical fields. Regression analysis, experimental design, categorical data analysis, …
STA 5377: Spatial Statistics
3 credit hours · 1 section · 10 open seats · Joon Song
Prerequisite(s): STA 5353; or consent of instructor. Exploratory spatial data analysis using both graphical and quantitative descriptions of spatial data including the empirical variogram. Topics include several theoretical isotropic and anisotropic variogram …
STA 5383: Intro to Multivariate Analysis
3 credit hours · 1 section · 7 open seats · Michael Gallaugher
Prerequisite(s): STA 5353 and STA 5381 or equivalent. Statistical models and procedures for describing and analyzing random vector response data. Supporting theoretical topics include matrix algebra, vector geometry, the multivariate normal distribution and in…
STA 5388: Seminar in Statistics
3 credit hours · 1 section · 19 open seats · John W. Seaman
Prerequisite(s): Consent of instructor. Selected topics in Statistics. May be repeated once with change of topic.
STA 5V85: Practice in Statistics
1 credit hours · 2 sections · 31 open seats · Mandy Hering
Consulting, research, and teaching in statistics.
STA 5V95: Topics in Statistics
1 credit hours · 2 sections · 16 open seats · David Kahle
Prerequisite(s): Consent of instructor. Selected topics in statistics. May involve texts, current literature, or an applied data model analysis. This course may be repeated up to four times with change of topic.
STA 6352: Bayesian Theory and Methods I
3 credit hours · 1 section · 15 open seats · John W. Seaman
Prerequisite(s): STA 5353 or equivalent. This course introduces the principles of Bayesian statistical inference, covering foundational concepts, decision theory, prior construction, and posterior computation. Students will explor…
STA 6363: Functional Data Analysis
3 credit hours · 1 section · 15 open seats · Mandy Hering
Prerequisite(s): MATH 2311, STA 5300, STA 5383, or consent of instructor. Introduction to the analysis of data that may be considered to be realizations from smooth functions. Visualization and data exploration, nonparametric smoothing, functional linear model…
STA 6366: Statistical Bioinformatics
3 credit hours · 1 section · 15 open seats · Jackson Barth
Prerequisite(s): STA 5353 and 5383; or consent of instructor. Critical evaluation of current statistical methodology used for the analysis of genomic and proteomic data.
STA 6376: Computational Statistics II
3 credit hours · 1 section · 15 open seats · David Kahle
Prerequisite(s): STA 6375. A continuation of STA 6374 with an emphasis on computational and applied mathematics, pseudo-random variate generation, and Monte Carlo methods. Credit cannot be received for this course and for STA 5373.
STA 6V00: Graduate Research
1 credit hours · 12 sections · 58 open seats · Mandy Hering, John W. Seaman, Joon Song, James Stamey and 8 more
Prerequisite(s): Graduate standing. For research credit prior to admission to candidacy for an advanced degree. Credit will be given for the amount of work done. May be repeated for credit through 45 hours.
STA 6V99: Dissertation
1 credit hours · 11 sections · 53 open seats · John W. Seaman, Rodney Sturdivant, Joon Song, Michael Gallaugher and 7 more
Supervised research for the doctoral dissertation. maximum of nine semester hours will count for the degree. A student may register for one to six semester hours in one semester.