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Online Curriculum Overview

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All courses are 3 credits unless otherwise noted.
Math pre-requisite: standard three course calculus sequence, (for example, MATH 140, MATH 141 and MATH 230) and knowledge of matrix algebra / linear algebra MATH 220).

 

Statistical Analysis System Programming

  • STAT 480 - Introduction to SAS (1 credit)
  • STAT 481 - Intermediate SAS (1 credit)
  • STAT 482 - Advanced Topics in SAS (1 credit)
  • STAT 497C - Topics in R Statistical Language
  • STAT 497D - Intermediate Topics in R Statistical Language

Theoretical Foundations

  • STAT 414 - Introduction to Probability Theory
  • STAT 415 - Introduction to Mathematical Statistics

Graduate Level Courses

  • STAT 500 - Applied Statistics*
  • STAT 501 - Regression Methods*
  • STAT 502 - Analysis of Variance and Design of Experiments
  • STAT 503 - Design of Experiments
  • STAT 504 - Analysis of Discrete Data
  • STAT 505 - Applied Multivariate Statistical Analysis
  • STAT 506 - Sampling Theory and Methods
  • STAT 507 - Epidemiological Research Methods
  • STAT 509 - Design and Analysis of Clinical Trials
  • STAT 510 - Applied Time Series Analysis

* For students just beginning the Graduate Certificate or the Masters in Applied Statistics program, STAT 500 then STAT 501 would be the recommended courses to begin your study.

Advanced Application of Statistical Methods

Capstone Experience