M.S. in Applied Statistics - Data Science Concentration

College of the Sciences and Mathematics
Required Courses
STA 502Introduction to Python for Statistics and Data Science1
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
Select 9 credits from the following list of electives (other STA electives may be substituted with permission of the Program Director):9
Time Series
Data Mining
Advanced Statistical Programming Using SAS
Statistical Programming Using R
Statistical Methods in Business and Finance
Applied Marketing Analytics
Foundations of Bioinformatics
Foundations of Data Science
Applied Statistical Machine Learning
Data Visualization
Internship In Applied Statistics
Thesis I
Thesis II
Database Systems Concepts
Total Minimum Credits Required34