BBA | Bachelor of Business Administration

The Bachelor’s Degree Courses at CalSouthern’s School of Business

Below, you’ll find all of the online bachelor’s degree courses offered by CalSouthern’s School of Business. By taking 15 semester hours of elective online bachelor’s courses, you can focus your studies in your particular area of interest, earning your Bachelor of Business Administration Degree with a concentration in management, accounting, human resources management, marketing, international business, or criminal justice.

Required Core Courses

Lower Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Upper Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Business Elective Courses

Management Electives

Lower Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Upper Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Accounting Electives

Lower Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Upper Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Human Resource Management Electives

Lower Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Upper Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Marketing Electives

Lower Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Upper Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Entrepreneurship Electives

Lower Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Upper Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Leadership Electives

Lower Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Upper Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


International Business Electives

Lower Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Upper Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Technology Electives

Lower Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


Upper Division Courses

BUS 2413 Business Statistics

Credits : 3

This course provides an introduction to the construction and use of statistical models for business management; it applies descriptive and inferential statistics to business and economic problems. Topical coverage includes summarizing data, measures of central tendency, dispersion, probability, probability distribution, normal distribution, sampling, hypothesis testing, correlation, regression, and chi-square analysis.

Learning Outcomes:
  • Evaluate course concepts critically and competently through interaction with Learners and Faculty Mentor.
  • Differentiate between different types of statistics.
  • Interpret frequency distributions.
  • Explore probability concepts.
  • Analyze sampling methods and confidence levels.
  • Explain the importance of hypothesis testing.
  • Illustrate ANOVA concepts.
  • Explain correlation coefficients and linear regression.
  • Utilize multiple regression analysis.
  • Perform data analysis using nonparametric methods.
  • Practice ethical behavior in regard to information and information technology.
Back


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