Single Courses - School of Business

Single Doctoral-Level Business Courses

At CalSouthern, students may enroll in a course at the doctoral level without committing to a degree program. It’s a great option for students who want to:

  • Get a feel for online learning at CalSouthern before pursuing a doctoral degree
  • Earn credits that can be applied toward a doctorate at CalSouthern or another institution*
  • Gain knowledge and expertise at the highest academic level in a topic of particular interest

Choose any of the doctoral courses offered by the CalSouthern’s School of Business. You’ll find a vast selection of subjects available, on topics as diverse as leadership, technology management, statistics, organizational development, finance, consumer behavior and supply chain management.

Getting started is a quick and simple process. No entrance exams are required and you don’t have to provide official transcripts. A master’s degree is not required to take doctoral-level courses. (However, if you wish to commit to CalSouthern’s Doctor of Business Administration program, a master’s degree is a prerequisite.) Courses start every month; you’ll never encounter a closed course or waiting list!

*Although credits from regionally accredited institutions like CalSouthern are readily accepted by other universities, acceptance is at the discretion of the receiving institution.

Doctoral Business Courses

BUS 87300 Advanced Measurement and Statistics for Business

Credits : 3

This course delves into the statistical and measurement techniques that are used to analyze, interpret, and present business data. Examples include descriptive statistics, hypothesis testing, probability distributions, sampling, analysis of variance, correlation, and linear regression. The emphasis of this course is on selecting the optimal statistical/measurement technique and on properly interpreting the results.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor. .
  • Describe types of statistics (descriptive and differential), variables, and levels of measurement.
  • Identify and perform appropriate statistical tests for independent and dependent samples.
  • Calculate best linear unbiased estimators for simple and multiple regression models with and without the software programs
  • Compute and interpret the results of Bivariate Regression and Correlation Analysis.
  • Construct and test a multiple regression model using a data set.
  • Understand that statistics are value neutral, but can be used to support discriminatory and biased value positions.
  • Complete a inferential statistical analysis of a regression model in written a presentation.
  • Use computer technology to compute descriptive and inferential statistics.
  • Integrate and apply Critical Thinking and content specific competencies ethically to course concepts
  • Analyze and evaluate your overall comprehension of the course relative to a broad-based evaluation of you understanding of the course concepts

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