Students
Tuition Fee
Start Date
Medium of studying
Duration
Details
Program Details
Degree
Masters
Major
Data Science | Applied Statistics | Statistics
Area of study
Mathematics and Statistics
Course Language
English
About Program

Program Overview


M.S. in Applied Statistics - Data Science Concentration

Course List

Code Title Credits
STA 502 Introduction to Python for Statistics and Data Science
STA 503 Introduction to R 1
STA 505 Mathematical Statistics I 3-4
STA 504 Mathematical Statistics I with Calculus Review
STA 506 Mathematical Statistics II 3
STA 507 Introduction to Categorical Data Analysis 3
STA 511 Intro Stat Computing & Data Management 3
STA 512 Principles of Experimental Analysis 4
STA 513 Intermediate Linear Models 4
STA 514 Modern Experimental Design 3

Electives

  • Select 9 credits from the following list of electives (other STA electives may be substituted with permission of the Program Director):
    • STA 534 | Time Series
    • STA 536 | Data Mining
    • STA 537 | Advanced Statistical Programming Using SAS
    • STA 538 | Statistical Programming Using R
    • STA 543 | Statistical Methods in Business and Finance
    • STA 544 | Applied Marketing Analytics
    • STA 546 | Foundations of Bioinformatics
    • STA 551 | Foundations of Data Science
    • STA 552 | Applied Statistical Machine Learning
    • STA 553 | Data Visualization
    • STA 601 | Internship In Applied Statistics
    • STA 609 | Thesis I
    • STA 610 | Thesis II
    • CSC 545 | Database Systems Concepts

Total Minimum Credits Required

34


See More
How can I help you today?