MBA | Master of Business Administration

CalSouthern’s Online MBA Courses

Below please find a listing of the online MBA courses that comprise CalSouthern’s MBA degree program. You can focus your course of study by taking 15 elective semester credits in a particular business field, earning an MBA with a concentration in management, finance, human resources, international business, or project management.

Required Core Courses

MGT 86510 Statistical Analysis

Credits : 3

This course provides an understanding of the fundamental descriptions of business data, and how numerical information enables good analysis. The use of SPSS is introduced and the tutorials with examples and business applications help to identify the best ways to review descriptive business information, using the easy tools introduced and demonstrated in SPSS tutorials. Business applications cover such areas as forecasting, comparative data analysis, descriptive statistics, charts and graphs, tables and a wide variety of bivariate techniques. Quality assessments, best decision evaluations, and other numerical tools are also explored. Along with good business applications, a wide variety of web based support tools are used to facilitate clear understanding.

Learning Outcomes:
  • Operate SPSS software to analyze statistical business applications
  • Analyze and manage numerical data and develop best business solutions
  • Identify correct statistical procedures to solve measurements
  • Select best statistical procedures for reporting hypotheses
  • Illustrate tabulated and graphics solutions and present findings in correct APA format
  • Formulate, develop, and compare hypotheses using the scientific methods
  • Interpret finding of different statistical testing procedures
  • Locate, recognize, and evaluate statistical resources to substantiate findings
  • Use analytic software to solve t-test, chi-square, ANOVA, regression and correlations
  • Test various assumptions on data and determine what hypothesis to reject or support
  • Introduce self and explain course expectations.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Access information efficiently and effectively.
  • Evaluate information critically and competently.
  • Practices ethical behavior in regard to information and information technology.
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Business Elective Courses

Management Electives

MGT 86510 Statistical Analysis

Credits : 3

This course provides an understanding of the fundamental descriptions of business data, and how numerical information enables good analysis. The use of SPSS is introduced and the tutorials with examples and business applications help to identify the best ways to review descriptive business information, using the easy tools introduced and demonstrated in SPSS tutorials. Business applications cover such areas as forecasting, comparative data analysis, descriptive statistics, charts and graphs, tables and a wide variety of bivariate techniques. Quality assessments, best decision evaluations, and other numerical tools are also explored. Along with good business applications, a wide variety of web based support tools are used to facilitate clear understanding.

Learning Outcomes:
  • Operate SPSS software to analyze statistical business applications
  • Analyze and manage numerical data and develop best business solutions
  • Identify correct statistical procedures to solve measurements
  • Select best statistical procedures for reporting hypotheses
  • Illustrate tabulated and graphics solutions and present findings in correct APA format
  • Formulate, develop, and compare hypotheses using the scientific methods
  • Interpret finding of different statistical testing procedures
  • Locate, recognize, and evaluate statistical resources to substantiate findings
  • Use analytic software to solve t-test, chi-square, ANOVA, regression and correlations
  • Test various assumptions on data and determine what hypothesis to reject or support
  • Introduce self and explain course expectations.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Access information efficiently and effectively.
  • Evaluate information critically and competently.
  • Practices ethical behavior in regard to information and information technology.
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Financial Management Electives

MGT 86510 Statistical Analysis

Credits : 3

This course provides an understanding of the fundamental descriptions of business data, and how numerical information enables good analysis. The use of SPSS is introduced and the tutorials with examples and business applications help to identify the best ways to review descriptive business information, using the easy tools introduced and demonstrated in SPSS tutorials. Business applications cover such areas as forecasting, comparative data analysis, descriptive statistics, charts and graphs, tables and a wide variety of bivariate techniques. Quality assessments, best decision evaluations, and other numerical tools are also explored. Along with good business applications, a wide variety of web based support tools are used to facilitate clear understanding.

Learning Outcomes:
  • Operate SPSS software to analyze statistical business applications
  • Analyze and manage numerical data and develop best business solutions
  • Identify correct statistical procedures to solve measurements
  • Select best statistical procedures for reporting hypotheses
  • Illustrate tabulated and graphics solutions and present findings in correct APA format
  • Formulate, develop, and compare hypotheses using the scientific methods
  • Interpret finding of different statistical testing procedures
  • Locate, recognize, and evaluate statistical resources to substantiate findings
  • Use analytic software to solve t-test, chi-square, ANOVA, regression and correlations
  • Test various assumptions on data and determine what hypothesis to reject or support
  • Introduce self and explain course expectations.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Access information efficiently and effectively.
  • Evaluate information critically and competently.
  • Practices ethical behavior in regard to information and information technology.
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Human Resource Management Electives

MGT 86510 Statistical Analysis

Credits : 3

This course provides an understanding of the fundamental descriptions of business data, and how numerical information enables good analysis. The use of SPSS is introduced and the tutorials with examples and business applications help to identify the best ways to review descriptive business information, using the easy tools introduced and demonstrated in SPSS tutorials. Business applications cover such areas as forecasting, comparative data analysis, descriptive statistics, charts and graphs, tables and a wide variety of bivariate techniques. Quality assessments, best decision evaluations, and other numerical tools are also explored. Along with good business applications, a wide variety of web based support tools are used to facilitate clear understanding.

Learning Outcomes:
  • Operate SPSS software to analyze statistical business applications
  • Analyze and manage numerical data and develop best business solutions
  • Identify correct statistical procedures to solve measurements
  • Select best statistical procedures for reporting hypotheses
  • Illustrate tabulated and graphics solutions and present findings in correct APA format
  • Formulate, develop, and compare hypotheses using the scientific methods
  • Interpret finding of different statistical testing procedures
  • Locate, recognize, and evaluate statistical resources to substantiate findings
  • Use analytic software to solve t-test, chi-square, ANOVA, regression and correlations
  • Test various assumptions on data and determine what hypothesis to reject or support
  • Introduce self and explain course expectations.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Access information efficiently and effectively.
  • Evaluate information critically and competently.
  • Practices ethical behavior in regard to information and information technology.
Back


International Business Electives

MGT 86510 Statistical Analysis

Credits : 3

This course provides an understanding of the fundamental descriptions of business data, and how numerical information enables good analysis. The use of SPSS is introduced and the tutorials with examples and business applications help to identify the best ways to review descriptive business information, using the easy tools introduced and demonstrated in SPSS tutorials. Business applications cover such areas as forecasting, comparative data analysis, descriptive statistics, charts and graphs, tables and a wide variety of bivariate techniques. Quality assessments, best decision evaluations, and other numerical tools are also explored. Along with good business applications, a wide variety of web based support tools are used to facilitate clear understanding.

Learning Outcomes:
  • Operate SPSS software to analyze statistical business applications
  • Analyze and manage numerical data and develop best business solutions
  • Identify correct statistical procedures to solve measurements
  • Select best statistical procedures for reporting hypotheses
  • Illustrate tabulated and graphics solutions and present findings in correct APA format
  • Formulate, develop, and compare hypotheses using the scientific methods
  • Interpret finding of different statistical testing procedures
  • Locate, recognize, and evaluate statistical resources to substantiate findings
  • Use analytic software to solve t-test, chi-square, ANOVA, regression and correlations
  • Test various assumptions on data and determine what hypothesis to reject or support
  • Introduce self and explain course expectations.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Access information efficiently and effectively.
  • Evaluate information critically and competently.
  • Practices ethical behavior in regard to information and information technology.
Back


Project Management Electives

MGT 86510 Statistical Analysis

Credits : 3

This course provides an understanding of the fundamental descriptions of business data, and how numerical information enables good analysis. The use of SPSS is introduced and the tutorials with examples and business applications help to identify the best ways to review descriptive business information, using the easy tools introduced and demonstrated in SPSS tutorials. Business applications cover such areas as forecasting, comparative data analysis, descriptive statistics, charts and graphs, tables and a wide variety of bivariate techniques. Quality assessments, best decision evaluations, and other numerical tools are also explored. Along with good business applications, a wide variety of web based support tools are used to facilitate clear understanding.

Learning Outcomes:
  • Operate SPSS software to analyze statistical business applications
  • Analyze and manage numerical data and develop best business solutions
  • Identify correct statistical procedures to solve measurements
  • Select best statistical procedures for reporting hypotheses
  • Illustrate tabulated and graphics solutions and present findings in correct APA format
  • Formulate, develop, and compare hypotheses using the scientific methods
  • Interpret finding of different statistical testing procedures
  • Locate, recognize, and evaluate statistical resources to substantiate findings
  • Use analytic software to solve t-test, chi-square, ANOVA, regression and correlations
  • Test various assumptions on data and determine what hypothesis to reject or support
  • Introduce self and explain course expectations.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Access information efficiently and effectively.
  • Evaluate information critically and competently.
  • Practices ethical behavior in regard to information and information technology.
Back


Healthcare Administration Electives

MGT 86510 Statistical Analysis

Credits : 3

This course provides an understanding of the fundamental descriptions of business data, and how numerical information enables good analysis. The use of SPSS is introduced and the tutorials with examples and business applications help to identify the best ways to review descriptive business information, using the easy tools introduced and demonstrated in SPSS tutorials. Business applications cover such areas as forecasting, comparative data analysis, descriptive statistics, charts and graphs, tables and a wide variety of bivariate techniques. Quality assessments, best decision evaluations, and other numerical tools are also explored. Along with good business applications, a wide variety of web based support tools are used to facilitate clear understanding.

Learning Outcomes:
  • Operate SPSS software to analyze statistical business applications
  • Analyze and manage numerical data and develop best business solutions
  • Identify correct statistical procedures to solve measurements
  • Select best statistical procedures for reporting hypotheses
  • Illustrate tabulated and graphics solutions and present findings in correct APA format
  • Formulate, develop, and compare hypotheses using the scientific methods
  • Interpret finding of different statistical testing procedures
  • Locate, recognize, and evaluate statistical resources to substantiate findings
  • Use analytic software to solve t-test, chi-square, ANOVA, regression and correlations
  • Test various assumptions on data and determine what hypothesis to reject or support
  • Introduce self and explain course expectations.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Access information efficiently and effectively.
  • Evaluate information critically and competently.
  • Practices ethical behavior in regard to information and information technology.
Back


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