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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 484 - The R Statistical Programing Language
  • STAT 485 - 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 508 - Applied Data Mining and Statistical Learning
  • STAT 509 - Design and Analysis of Clinical Trials
  • STAT 510 - Applied Time Series Analysis
  • STAT 555 Statistical Analysis of Genomics Data

* 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.

Capstone Experience

  • STAT 580/581 - Statistical Consulting Practicum