Curriculum

The Master of Applied Statistics curriculum consists of 11 online courses that focus on the discovery of statistical techniques and approaches through data visualization and computing. They will provide students with a firm understanding of linear and nonlinear models, and will prepare graduates to function in a variety of roles such as data analyst, data management technician and statistical programmer.

The selection of 11 online courses includes five required courses (17 hours) and 13 hours of guided electives selected from six courses.

Course Course Title Prerequisites Hours

STA 645* (Intro Video)

Computational Theory and Data Visualization

 

3

STA 646* (Intro Video)

Foundations of Probability and Inference

STA 645**

4

STA 647* (Intro Video)

Statistical Computing with SAS

 

2

STA 648* (Intro Video)

Regression Modeling

STA 645

4

STA 649* (Intro Video)

Design of Experiments

STA 647 &

STA 648

4

STA 650

Applied Multivariate Statistics

STA 646 &

STA 648 &

STA 649**

3

STA 651 (Intro Video)

Advanced Programming with R

STA 645

1

STA 652

Advanced Statistical Modeling

STA 649

3

STA 654

Applied Bayesian Analysis

STA 646 &

STA 648

3

STA 656

Statistical Quality Control

STA 645

3

STA 659

Advanced Statistical Methods

STA 646 &

STA 648

3 (Repeatable up to 6 hours)

* Denotes Required Course.

** Denotes Co-requisite Requirement.

Course Descriptions (pdf)

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