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

MIS 86510 Applied Data Analysis

Credits : 3

This course will be a review of managerial and statistical data techniques used for logistics analysis, hypothesis testing, regression and correlation analysis, forecasting, and statistical analysis. Emphasis will be on analysis of business and economic data to support managerial decision-making, time series, and forecasting. The format of this course will be topic specific discussion forums and case study analysis.

Learning Outcomes:
  • Identify the most frequently used quantitative methods for analyzing data and solving decision related problems.
  • Utilize quantitative methods to understand, interpret, and apply statistical methods and models commonly used in the analysis of business data.
  • Implement quantitative assessment/analyses methods using MicroSoft Excel Spreadsheets.
  • Develop appropriate and relevant conclusions from analyses by assessing the degree of structure or predictability in the data.
  • Assess the degree of uncertainty or imprecision in parameter estimates (with confidence intervals and measures of sampling variability).
  • Recognizing the limitations and assumptions of the data or statistical technique .
  • Interpret your conclusions to identify settings in which models can be used effectively and apply modeling concepts in practical situations.
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Demonstrate ethical behavior in regard to information and information technology.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the concepts and constructs.
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Business Elective Courses

Management Electives

MIS 86510 Applied Data Analysis

Credits : 3

This course will be a review of managerial and statistical data techniques used for logistics analysis, hypothesis testing, regression and correlation analysis, forecasting, and statistical analysis. Emphasis will be on analysis of business and economic data to support managerial decision-making, time series, and forecasting. The format of this course will be topic specific discussion forums and case study analysis.

Learning Outcomes:
  • Identify the most frequently used quantitative methods for analyzing data and solving decision related problems.
  • Utilize quantitative methods to understand, interpret, and apply statistical methods and models commonly used in the analysis of business data.
  • Implement quantitative assessment/analyses methods using MicroSoft Excel Spreadsheets.
  • Develop appropriate and relevant conclusions from analyses by assessing the degree of structure or predictability in the data.
  • Assess the degree of uncertainty or imprecision in parameter estimates (with confidence intervals and measures of sampling variability).
  • Recognizing the limitations and assumptions of the data or statistical technique .
  • Interpret your conclusions to identify settings in which models can be used effectively and apply modeling concepts in practical situations.
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Demonstrate ethical behavior in regard to information and information technology.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the concepts and constructs.
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Financial Management Electives

MIS 86510 Applied Data Analysis

Credits : 3

This course will be a review of managerial and statistical data techniques used for logistics analysis, hypothesis testing, regression and correlation analysis, forecasting, and statistical analysis. Emphasis will be on analysis of business and economic data to support managerial decision-making, time series, and forecasting. The format of this course will be topic specific discussion forums and case study analysis.

Learning Outcomes:
  • Identify the most frequently used quantitative methods for analyzing data and solving decision related problems.
  • Utilize quantitative methods to understand, interpret, and apply statistical methods and models commonly used in the analysis of business data.
  • Implement quantitative assessment/analyses methods using MicroSoft Excel Spreadsheets.
  • Develop appropriate and relevant conclusions from analyses by assessing the degree of structure or predictability in the data.
  • Assess the degree of uncertainty or imprecision in parameter estimates (with confidence intervals and measures of sampling variability).
  • Recognizing the limitations and assumptions of the data or statistical technique .
  • Interpret your conclusions to identify settings in which models can be used effectively and apply modeling concepts in practical situations.
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Demonstrate ethical behavior in regard to information and information technology.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the concepts and constructs.
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Human Resource Management Electives

MIS 86510 Applied Data Analysis

Credits : 3

This course will be a review of managerial and statistical data techniques used for logistics analysis, hypothesis testing, regression and correlation analysis, forecasting, and statistical analysis. Emphasis will be on analysis of business and economic data to support managerial decision-making, time series, and forecasting. The format of this course will be topic specific discussion forums and case study analysis.

Learning Outcomes:
  • Identify the most frequently used quantitative methods for analyzing data and solving decision related problems.
  • Utilize quantitative methods to understand, interpret, and apply statistical methods and models commonly used in the analysis of business data.
  • Implement quantitative assessment/analyses methods using MicroSoft Excel Spreadsheets.
  • Develop appropriate and relevant conclusions from analyses by assessing the degree of structure or predictability in the data.
  • Assess the degree of uncertainty or imprecision in parameter estimates (with confidence intervals and measures of sampling variability).
  • Recognizing the limitations and assumptions of the data or statistical technique .
  • Interpret your conclusions to identify settings in which models can be used effectively and apply modeling concepts in practical situations.
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Demonstrate ethical behavior in regard to information and information technology.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the concepts and constructs.
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International Business Electives

MIS 86510 Applied Data Analysis

Credits : 3

This course will be a review of managerial and statistical data techniques used for logistics analysis, hypothesis testing, regression and correlation analysis, forecasting, and statistical analysis. Emphasis will be on analysis of business and economic data to support managerial decision-making, time series, and forecasting. The format of this course will be topic specific discussion forums and case study analysis.

Learning Outcomes:
  • Identify the most frequently used quantitative methods for analyzing data and solving decision related problems.
  • Utilize quantitative methods to understand, interpret, and apply statistical methods and models commonly used in the analysis of business data.
  • Implement quantitative assessment/analyses methods using MicroSoft Excel Spreadsheets.
  • Develop appropriate and relevant conclusions from analyses by assessing the degree of structure or predictability in the data.
  • Assess the degree of uncertainty or imprecision in parameter estimates (with confidence intervals and measures of sampling variability).
  • Recognizing the limitations and assumptions of the data or statistical technique .
  • Interpret your conclusions to identify settings in which models can be used effectively and apply modeling concepts in practical situations.
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Demonstrate ethical behavior in regard to information and information technology.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the concepts and constructs.
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Project Management Electives

MIS 86510 Applied Data Analysis

Credits : 3

This course will be a review of managerial and statistical data techniques used for logistics analysis, hypothesis testing, regression and correlation analysis, forecasting, and statistical analysis. Emphasis will be on analysis of business and economic data to support managerial decision-making, time series, and forecasting. The format of this course will be topic specific discussion forums and case study analysis.

Learning Outcomes:
  • Identify the most frequently used quantitative methods for analyzing data and solving decision related problems.
  • Utilize quantitative methods to understand, interpret, and apply statistical methods and models commonly used in the analysis of business data.
  • Implement quantitative assessment/analyses methods using MicroSoft Excel Spreadsheets.
  • Develop appropriate and relevant conclusions from analyses by assessing the degree of structure or predictability in the data.
  • Assess the degree of uncertainty or imprecision in parameter estimates (with confidence intervals and measures of sampling variability).
  • Recognizing the limitations and assumptions of the data or statistical technique .
  • Interpret your conclusions to identify settings in which models can be used effectively and apply modeling concepts in practical situations.
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Demonstrate ethical behavior in regard to information and information technology.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the concepts and constructs.
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Healthcare Administration Electives

MIS 86510 Applied Data Analysis

Credits : 3

This course will be a review of managerial and statistical data techniques used for logistics analysis, hypothesis testing, regression and correlation analysis, forecasting, and statistical analysis. Emphasis will be on analysis of business and economic data to support managerial decision-making, time series, and forecasting. The format of this course will be topic specific discussion forums and case study analysis.

Learning Outcomes:
  • Identify the most frequently used quantitative methods for analyzing data and solving decision related problems.
  • Utilize quantitative methods to understand, interpret, and apply statistical methods and models commonly used in the analysis of business data.
  • Implement quantitative assessment/analyses methods using MicroSoft Excel Spreadsheets.
  • Develop appropriate and relevant conclusions from analyses by assessing the degree of structure or predictability in the data.
  • Assess the degree of uncertainty or imprecision in parameter estimates (with confidence intervals and measures of sampling variability).
  • Recognizing the limitations and assumptions of the data or statistical technique .
  • Interpret your conclusions to identify settings in which models can be used effectively and apply modeling concepts in practical situations.
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Demonstrate ethical behavior in regard to information and information technology.
  • Demonstrate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the concepts and constructs.
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