DBA | Doctor of Business Administration

The CalSouthern DBA Program: Online Doctoral Course Listing

Below, please find the online doctoral courses which comprise CalSouthern’s Doctor of Business Administration online degree program. The DBA program consists of an integrated sequence of doctorate courses and a doctoral project that encompasses 60 credits beyond a master’s degree.

Required First Year Courses

BUS 87300 Advanced Measurement and Statistics for Business

Credits : 3

This course delves into statistical and measurement techniques that are used to analyze, interpret, and present data, including, but not limited to, 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 in 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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Required Second Year Courses

BUS 87300 Advanced Measurement and Statistics for Business

Credits : 3

This course delves into statistical and measurement techniques that are used to analyze, interpret, and present data, including, but not limited to, 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 in 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
Back


Required Third Year Courses

BUS 87300 Advanced Measurement and Statistics for Business

Credits : 3

This course delves into statistical and measurement techniques that are used to analyze, interpret, and present data, including, but not limited to, 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 in 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
Back


Required Doctoral Project Courses

BUS 87300 Advanced Measurement and Statistics for Business

Credits : 3

This course delves into statistical and measurement techniques that are used to analyze, interpret, and present data, including, but not limited to, 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 in 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
Back


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