Miriam McGaugh

Learn basics of SAS programming, data manipulation in SAS environment and applications of SAS tools in the context of database marketing and business management. Class will help students prepare for Base SAS Programming and Advanced SAS Programming Certification Exam.Prerequisite(s): Admission in any graduate program.

Current topics in marketing analytics such as web analytics, marketing optimization analytics, high-performance analytics, visual analytics, marketing campaign analytics.Offered for variable credit, 1-6 credit hours, maximum of 9 credit hours.Prerequisite(s): Admission in any graduate program in business school or consent of instructor.

Professionally supervised experience in business analytics projects for which the student assumes a degree of professional responsibilitiy. Activities approved in advance by the instructor and must reflect graduate level analysis. May consist of full or part-time business analytics experience, on-campus or in industry, or both, either individually or as a responsible group member. Periodic reports, both oral and written, required as specified by the instructor.Offered for variable credit, 1-3 credit hours, maximum of 3 credit hours.Prerequisite(s): Consent of director of MS in Business Analytics and satisfactory completion of six hours of BAN 5000- or MKTG 5000-level courses.

To be effective in today’s business environment, an analyst needs to be able to translate business data into information to make better decisions. An effective analyst must also be able to do independent research and communicate findings in verbal and written forms to a wide variety of audiences. The course addresses how to do research and communicate findings from research. Offered for variable credit, 1-3 credit hours, maximum of 6 credit hours.Prerequisite(s): BAN 5560

To be effective in today’s business environment, an analyst needs to be able to translate business data into information to make better decisions. An effective analyst must also be able to do independent research and communicate findings in verbal and written forms to a wide variety of audiences. The course addresses how to do research and communicate findings from research. Offered for variable credit, 1-3 credit hours, maximum of 6 credit hours.Prerequisite(s): BAN 5560

Current topics in marketing analytics such as web analytics, marketing optimization analytics, high-performance analytics, visual analytics, marketing campaign analytics.Offered for variable credit, 1-6 credit hours, maximum of 9 credit hours.Prerequisite(s): Admission in any graduate program in business school or consent of instructor.

Learn how to use predictive analytic tools such as logistic regression, neural networks, decision trees and other classification and prediction models to generate deeper business insights and to improve business decision making. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5963 or MKTG 5743 and BAN 5743 for degree credit.Prerequisite(s): BAN 5733 or consent by instructor.

Learn how to use predictive analytic tools such as logistic regression, neural networks, decision trees and other classification and prediction models to generate deeper business insights and to improve business decision making. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5963 or MKTG 5743 and BAN 5743 for degree credit.Prerequisite(s): BAN 5733 or consent by instructor.

Learn how to use predictive analytic tools such as logistic regression, neural networks, decision trees and other classification and prediction models to generate deeper business insights and to improve business decision making. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5963 or MKTG 5743 and BAN 5743 for degree credit.Prerequisite(s): BAN 5733 or consent by instructor.

To be effective in today’s business environment, an analyst needs to be able to translate business data into information to make better decisions. An effective analyst must also be able to communicate findings in verbal and written forms to a wide variety of audiences. This course introduces interactive techniques to learn and master multiple communication styles used in business analytics and research.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.Prerequisite(s): MS BAN or MS BADS or consent of instructor.

To be effective in today’s business environment, an analyst needs to be able to translate business data into information to make better decisions. An effective analyst must also be able to communicate findings in verbal and written forms to a wide variety of audiences. This course introduces interactive techniques to learn and master multiple communication styles used in business analytics and research.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.Prerequisite(s): MS BAN or MS BADS or consent of instructor.

Learn how to describe and analyze business data using visualization and statistical tools. Topic coverage will include different types of graphs and plots, cross-tabs, variable associations, regression, ANOVA and other related models. An overview of basic probability concepts and statistical sampling techniques will also be provided. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5733 or MKTG 5983 and BAN 5733 for degree credit.Prerequisite(s): MS BAN or MS BADS or GCRT BADS or consent of instructor.

Learn how to describe and analyze business data using visualization and statistical tools. Topic coverage will include different types of graphs and plots, cross-tabs, variable associations, regression, ANOVA and other related models. An overview of basic probability concepts and statistical sampling techniques will also be provided. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5733 or MKTG 5983 and BAN 5733 for degree credit.Prerequisite(s): MS BAN or MS BADS or GCRT BADS or consent of instructor.

Learn how to describe and analyze business data using visualization and statistical tools. Topic coverage will include different types of graphs and plots, cross-tabs, variable associations, regression, ANOVA and other related models. An overview of basic probability concepts and statistical sampling techniques will also be provided. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5733 or MKTG 5983 and BAN 5733 for degree credit.Prerequisite(s): MS BAN or MS BADS or GCRT BADS or consent of instructor.

Learn basics of SAS programming, data manipulation in SAS environment and applications of SAS tools in the context of database marketing and business management. Class will help students prepare for Base SAS Programming and Advanced SAS Programming Certification Exam.Prerequisite(s): Admission in any graduate program.

Current topics in marketing analytics such as web analytics, marketing optimization analytics, high-performance analytics, visual analytics, marketing campaign analytics.Offered for variable credit, 1-6 credit hours, maximum of 9 credit hours.Prerequisite(s): Admission in any graduate program in business school or consent of instructor.

To be effective in today’s business environment, an analyst needs to be able to translate business data into information to make better decisions. An effective analyst must also be able to do independent research and communicate findings in verbal and written forms to a wide variety of audiences. The course addresses how to do research and communicate findings from research. Offered for variable credit, 1-3 credit hours, maximum of 6 credit hours.Prerequisite(s): BAN 5560

To be effective in today’s business environment, an analyst needs to be able to translate business data into information to make better decisions. An effective analyst must also be able to do independent research and communicate findings in verbal and written forms to a wide variety of audiences. The course addresses how to do research and communicate findings from research. Offered for variable credit, 1-3 credit hours, maximum of 6 credit hours.Prerequisite(s): BAN 5560

Learn how to use predictive analytic tools such as logistic regression, neural networks, decision trees and other classification and prediction models to generate deeper business insights and to improve business decision making. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5963 or MKTG 5743 and BAN 5743 for degree credit.Prerequisite(s): BAN 5733 or consent by instructor.

Learn how to use predictive analytic tools such as logistic regression, neural networks, decision trees and other classification and prediction models to generate deeper business insights and to improve business decision making. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5963 or MKTG 5743 and BAN 5743 for degree credit.Prerequisite(s): BAN 5733 or consent by instructor.

Learn how to use predictive analytic tools such as logistic regression, neural networks, decision trees and other classification and prediction models to generate deeper business insights and to improve business decision making. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5963 or MKTG 5743 and BAN 5743 for degree credit.Prerequisite(s): BAN 5733 or consent by instructor.

To be effective in today’s business environment, an analyst needs to be able to translate business data into information to make better decisions. An effective analyst must also be able to communicate findings in verbal and written forms to a wide variety of audiences. This course introduces interactive techniques to learn and master multiple communication styles used in business analytics and research.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.Prerequisite(s): MS BAN or MS BADS or consent of instructor.