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National College Credit Recommendation Service

Board of Regents  |  University of the State of New York

Theological Research Institute, Ltd. (TRI) | Evaluated Learning Experience

Multivariate Data Analysis (BUS 205)


Self-study, self-paced.

Various; distance learning format.

October 2018 - Present. 

Instructional delivery format: 
Proficiency exam
Learner Outcomes: 

Upon successful completion of this learning experience, students will be able to: analyze the concepts of analyzing multivariate data; outline matrix competency with general aspects of handling multivariate data; identify a range of multivariate techniques available; establish a link between multivariate techniques and corresponding univariate techniques; use multivariate techniques appropriately; and undertake multivariate hypothesis tests and draw appropriate conclusions.


Multivariate Statistical techniques are important tools of analysis in all fields of management: Finance, Production, Accounting, Marketing, and Personnel Management. In addition, they play key roles in the fundamental disciplines of the social science: Economics, Psychology, Sociology, etc. This course is designed to provide students with a working knowledge of the basic concepts underlying the most important multivariate techniques with an overview of actual applications in various fields, and with experience in actually using such techniques on a problem of their own choosing. The course addresses underlying mathematics and problems of applications. Prerequisite: Knowledge and competence in statistics and mathematics. 

Credit recommendation: 

In the lower division baccalaureate/associate degree category, 3 semester hours in Accounting, Business, Computer Information Systems, Computer Science, Data Science, Economics, Finance, Statistics, or Marketing (10/20 revalidation).