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

ECO 87501 Managerial Economics

Credits : 3

This course examines basic static decision models which are used to analyze optimal decision-making processes in economics. Topics included in this course are: basic assumptions and decision analysis; linear programming and duality; risk aversion and risk bearing; Bayesian inference, and Markov Decision problems.

Learning Outcomes:
  • Summarize fundamentals of managerial economic theory.
  • Identify business and consumer objectives.
  • Apply marginal analysis to determine solutions to optimization problems.
  • Apply sensitivity analyses in business decisions by using concept of elasticity.
  • Support the use of econometric tools to analyze data, make forecasts, and present results.
  • Identify how group and individual decisions may differ under different market structures.
  • Interpret the causes of market failure and perform comparative statics to determine the impact of market failure on efficiency.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Practice ethical behavior in regard to information and information technology.
  • Analyze and evaluate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the course objectives.
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Required Second Year Courses

ECO 87501 Managerial Economics

Credits : 3

This course examines basic static decision models which are used to analyze optimal decision-making processes in economics. Topics included in this course are: basic assumptions and decision analysis; linear programming and duality; risk aversion and risk bearing; Bayesian inference, and Markov Decision problems.

Learning Outcomes:
  • Summarize fundamentals of managerial economic theory.
  • Identify business and consumer objectives.
  • Apply marginal analysis to determine solutions to optimization problems.
  • Apply sensitivity analyses in business decisions by using concept of elasticity.
  • Support the use of econometric tools to analyze data, make forecasts, and present results.
  • Identify how group and individual decisions may differ under different market structures.
  • Interpret the causes of market failure and perform comparative statics to determine the impact of market failure on efficiency.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Practice ethical behavior in regard to information and information technology.
  • Analyze and evaluate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the course objectives.
Back


Required Third Year Courses

ECO 87501 Managerial Economics

Credits : 3

This course examines basic static decision models which are used to analyze optimal decision-making processes in economics. Topics included in this course are: basic assumptions and decision analysis; linear programming and duality; risk aversion and risk bearing; Bayesian inference, and Markov Decision problems.

Learning Outcomes:
  • Summarize fundamentals of managerial economic theory.
  • Identify business and consumer objectives.
  • Apply marginal analysis to determine solutions to optimization problems.
  • Apply sensitivity analyses in business decisions by using concept of elasticity.
  • Support the use of econometric tools to analyze data, make forecasts, and present results.
  • Identify how group and individual decisions may differ under different market structures.
  • Interpret the causes of market failure and perform comparative statics to determine the impact of market failure on efficiency.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Practice ethical behavior in regard to information and information technology.
  • Analyze and evaluate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the course objectives.
Back


Required Doctoral Project Courses

ECO 87501 Managerial Economics

Credits : 3

This course examines basic static decision models which are used to analyze optimal decision-making processes in economics. Topics included in this course are: basic assumptions and decision analysis; linear programming and duality; risk aversion and risk bearing; Bayesian inference, and Markov Decision problems.

Learning Outcomes:
  • Summarize fundamentals of managerial economic theory.
  • Identify business and consumer objectives.
  • Apply marginal analysis to determine solutions to optimization problems.
  • Apply sensitivity analyses in business decisions by using concept of elasticity.
  • Support the use of econometric tools to analyze data, make forecasts, and present results.
  • Identify how group and individual decisions may differ under different market structures.
  • Interpret the causes of market failure and perform comparative statics to determine the impact of market failure on efficiency.
  • Integrate the course concepts through interaction with other Learners and your Mentor.
  • Practice ethical behavior in regard to information and information technology.
  • Analyze and evaluate your overall comprehension of the course relative to a broad-based evaluation of your understanding of the course objectives.
Back


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