M.S. in Applied Statistics

College of the Sciences and Mathematics
Required
STA 503Introduction to R1
STA 505Mathematical Statistics I3-4
or STA 504 Mathematical Statistics I with Calculus Review
STA 506Mathematical Statistics II3
STA 507Introduction to Categorical Data Analysis3
STA 511Intro Stat Computing & Data Management3
STA 512Principles of Experimental Analysis4
STA 513Intermediate Linear Models4
STA 514Modern Experimental Design3
Electives
Select 9 credits from the following list of electives:9
Topics In Applied Statistics
Survival Analysis
Longitudinal Data Analysis
Time Series
Multivariate Data Analysis
Data Mining
Advanced Statistical Programming Using SAS
Statistical Programming Using R
Applied Bayesian Methods
Statistical Consulting
Categorical Data Analysis II
Statistical Methods for Observational Studies
Statistical Methods in Business and Finance
Applied Marketing Analytics
Statistical Design and Analysis of Clinical Trials
Foundations of Bioinformatics
Foundations of Data Science
Applied Statistical Machine Learning
Data Visualization
Internship In Applied Statistics
Thesis I
Thesis II
Total Minimum Credits Required 33
 

To track their individual degree progress, students are advised to access their Degree Progress Report (DPR) via my WCU and consult their Graduate Coordinator.  For more information, visit wcupa.edu/DegreeProgressReport.

The following is a sample suggested course sequence for this program; course offerings and availability are not guaranteed. Students should consult their academic advisor with any questions.

Non-Thesis Option

Plan of Study Grid
Year One
Semester OneCredits
STA 503 Introduction to R 1
STA 505
Mathematical Statistics I
or Mathematical Statistics I with Calculus Review
3-4
STA 511 Intro Stat Computing & Data Management 3
 Credits7-8
Semester Two
STA 506 Mathematical Statistics II 3
STA 512 Principles of Experimental Analysis 4
 Credits7
Summer
STA 601 Internship In Applied Statistics (Optional) 3
Elective (Optional) 1 3
 Credits6
Year Two
Semester Three
STA 507 Introduction to Categorical Data Analysis 3
STA 513 Intermediate Linear Models 4
 Credits7
Semester Four
STA 514 Modern Experimental Design 3
Elective (Optional) 3
 Credits6
 Total Credits33-34
1

Can take more than one elective (any STA course numbered STA 531 or above) each summer.

Thesis Option

Plan of Study Grid
Year One
Semester OneCredits
STA 503 Introduction to R 1
STA 505
Mathematical Statistics I
or Mathematical Statistics I with Calculus Review
3-4
STA 511 Intro Stat Computing & Data Management 3
 Credits7-8
Semester Two
STA 506 Mathematical Statistics II 3
STA 512 Principles of Experimental Analysis 4
 Credits7
Summer
STA 601 Internship In Applied Statistics (Optional) 3
 Credits3
Year Two
Semester Three
STA 507 Introduction to Categorical Data Analysis 3
STA 513 Intermediate Linear Models 4
STA 609 Thesis I 3
 Credits10
Semester Four
STA 514 Modern Experimental Design 3
STA 610 Thesis II 3
 Credits6
 Total Credits33-34