Courses

Course Number Title Credit Hours
1350 Elementary Statistics 3.0
1430.01 Statistics for the Business Sciences 4.0
1430.02 Statistics for the Business Sciences 4.0
1430H Statistics for the Business Sciences 4.0
1450 Introduction to the Practice of Statistics 3.0
1550 Introduction to Statistical Reasoning 3.0
2450 Introduction to Statistical Analysis I 3.0
2460H Introduction to Statistical Analysis II 3.0
2480 Statistics for the Life Sciences 3.0
2510.01 Statistics in the Sports World 2.0
2510.02 Statistics in the Environmental Sciences 2.0
3201 Introduction to Probability for Data Analytics 3.0
3202 Introduction to Statistical Inference for Data Analytics 4.0
3301 Statistical Modeling for Discovery I 3.0
3302 Statistical Modeling for Discovery II 3.0
3303 Bayesian Analysis and Statistical Decision Making 3.0
3410 Principles of Data Collection and Analysis 3.0
3450 Basic Statistics for Engineers 2.0
3460 Principles of Statistics for Engineers 3.0
3470 Introduction to Probability and Statistics for Engineers 3.0
4193 Individual Studies 1.0
4194 Group Studies 1.0
4201 Introduction to Mathematical Statistics I 4.0
4202 Introduction to Mathematical Statistics II 4.0
4288 Bridge Course for Introduction to Probability and Statistics for Engineering and the Sciences II 2.0
4301 Advanced Statistical Inference 3.0
4302 Computational Statistics 3.0
4620 Introduction to Statistical Learning 2.0
4690 Undergraduate Topics in Statistics 1.0
4998 Undergraduate Research in Statistics 1.0
5299 Intermediate Data Analysis Bridge Course 2.0
5301 Intermediate Data Analysis I 4.0
5302 Intermediate Data Analysis II 3.0
5510 Statistical Foundations of Survey Research 3.0
5550 Introductory Time Series Analysis 3.0
5740 Introduction to SAS Software 2.0
5760 Statistical Consulting Support from the SCS 3.0
6030 Teaching of Statistics 2.0
6040 Mentored Teaching Experience in Statistics 2.0
6060 Early Start in Statistics 3.0
6193 Individual Studies in Foundational Graduate Topics in Statistics 1.0
6194 Group Studies in Foundational Graduate Topics in Statistics 1.0
6201 Mathematical Statistics 4.0
6301 Probability for Statistical Inference 3.0
6302 Theory of Statistical Analysis 3.0
6410 Design and Analysis of Experiments 4.0
6450 Applied Regression Analysis 4.0
6500 Statistical Machine Learning 3.0
6510 Survey Sampling Methods 3.0
6520 Applied Statistical Analysis with Missing Data 3.0
6530 Introduction to Spatial Statistics 2.0
6540 Applied Stochastic Processes 3.0
6550 The Statistical Analysis of Time Series 2.0
6560 Applied Multivariate Analysis 3.0
6570 Applied Bayesian Analysis 2.0
6605 Applied Survival Analysis 3.0
6610 Applied Nonparametric Statistics 3.0
6615 Design and Analysis of Clinical Trials 2.0
6620 Environmental Statistics 2.0
6625 Statistical Analysis of Genetic Data 3.0
6640 Principles of Statistical Quality Control 3.0
6650 Discrete Data Analysis 2.0
6690 Foundational Graduate Topics in Statistics 1.0
6730 Introduction to Computational Statistics 2.0
6740 Data Management and Graphics for Statistical Analyses 3.0
6750 Statistical Consulting and Collaboration 2.0
6801 Statistical Theory I 4.0
6802 Statistical Theory II 4.0
6860 Foundations of the Linear Model 2.0
6910 Applied Statistics I 4.0
6950 Applied Statistics II 4.0
6998 Research in Foundational Graduate Topics in Statistics 1.0
7201 Theory of Probability 3.0
7301 Advanced Statistical Theory I 3.0
7302 Advanced Statistical Theory II 3.0
7303 Bayesian Analysis and Decision Theory 3.0
7410 Theory of the Linear Model 3.0
7430 Generalized Linear Models 3.0
7450 Multiple Comparisons Procedures 3.0
7460 Advanced Design and Analysis of Experiments 3.0
7470 Advanced Longitudinal Data Analysis 3.0
7540 Theory of Stochastic Processes 3.0
7550 Time Series Theory and Methods 3.0
7560 Multivariate Analysis 3.0
7605 Advanced Regression Modeling of Time-to-Event Data 3.0
7610 Theory of Nonparametric Statistics 3.0
7620 Elements of Statistical Learning 3.0
7630 Nonparametric Function Estimation 2.0
7640 Order Statistics 3.0
7730 Advanced Computational Statistics 3.0
7755 Biostatistical Collaboration 2.0
7789 Survey Research Practicum 3.0
7998 Intermediate Graduate Research in Statistics 1.0
7999 Masters Thesis Research in Statistics 1.0
8010 Seminar on Research Topics in Statistics 1.0
8193 Individual Studies in Advanced Graduate Topics in Statistics 1.0
8194 Group Studies in Advanced Graduate Topics in Statistics 1.0
8310 Large Sample Theory 3.0
8410 Capstone Applications 3.0
8450 Stochastic Epidemic Models 3.0
8460 Special Topics in Design of Experiments 3.0
8530 Spatial and Spatio-Temporal Statistics 3.0
8540 Topics in Advanced Stochastic Processes 3.0
8570 Advanced Bayesian Analysis: Modeling 3.0
8575 Advanced Bayesian Analysis: Computation 3.0
8605 Advanced Survival Analysis 3.0
8625 Statistical Methods for Analyzing Genetic Data 3.0
8750.01 Research Group in Statistical Learning and Data Mining 1.0
8750.02 Research Group in Design of Physical and Computer Experiments 1.0
8750.03 Research Group in Statistical Genetics and Bioinformatics 1.0
8750.04 Research Group in Quantitive Methods in Consumer Behavior 1.0
8750.05 Research Group in Ranked Set Sampling 1.0
8750.06 Research Group in Spatial Statistics and Environmental Statistics 1.0
8750.07 Research Group in the Analysis of Clinical Trials Data, including Efficacy, Safety, and Biomarkers 1.0
8750.08 Research Group in Observational Data 1.0
8810 Advanced Topics in Statistics I 2.0
8820 Advanced Topics in Statistics II 2.0
8830 Advanced Topics in Statistics III 1.0
8840 Advanced Topics in Statistics IV 1.0
8850 Advanced Topics in Biostatistics I 1.0
8860 Advanced Topics in Biostatistics II 1.0
8891 Interdisciplinary Seminar 1.0
8895 Statistics Seminar 1.0
8999 PhD Dissertation Research in Statistics 1.0