Curriculum: Coming Soon - Marketing Research Graduate Certificate

July 31, 2021
12
August 23, 2021

curriculum icon Curriculum at a Glance

The certificate includes one core course (two semester credits) and four to five elective courses (10 semester credits). The prerequisite Marketing Foundations course is required for students without a marketing background.

Marketing certificate curriculum: 

  • Prerequisite, 1 credit
  • Core, 2 credits
  • Electives, 10 credits

To learn more about our coursework, review a sample curriculum.

Marketing Research for Managers

Explores the role of marketing research in marketing management. Students do hands-on assignments to develop their understanding of methods for designing and implementing marketing research projects, including collecting, analyzing, and summarizing data pertinent to solving marketing problems. Developing experience in key aspects of marketing research is stressed.

Buyer Behavior

Consumer behavior is the study of human responses to products, services, and the marketing of these products and services. The topic is of critical importance to managers because the focus on the consumer is the key contribution of marketing to business practice; other business functions (e.g.,finance, accounting, production) ignore the consumer. Managers who really understand the consumer develop better products and services, and also market their products and services more effectively.

Consumer Insights

The class focuses on the method, theory, and practice of consumer research designed to uncover consumer insights. The goal of the class is to learn the skills necessary to plan and execute a qualitative research project that will lead to actionable consumer insights. Students will complete a project and may be asked to sign a non-disclosure agreement.

Buyer Behavior

Consumer behavior is the study of human responses to products, services, and the marketing of these products and services. The topic is of critical importance to managers because the focus on the consumer is the key contribution of marketing to business practice; other business functions (e.g.,finance, accounting, production) ignore the consumer. Managers who really understand the consumer develop better products and services, and also market their products and services more effectively.

Academic Research Assistant in Marketing

The purpose of this course is to provide an experiential learning opportunity for students considering an academic career. Interested students must apply for admission into this course. Students will learn the basics of the academic research process by actively engaging in academic research under the guidance of researchers. Students will be involved in all aspects of a research project: background research and literature review, survey development and/or experimental design, experiment administration and data collection, data coding and analysis, and interpretation of results for managerial implications. Students will present the results of their research in a formal presentation in addition to writing a reflective paper summarizing how this course impacted their education and career objectives.

Data Visualization

This course provides an introduction as well as hands-on experience in data visualization. It introduces students to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making.

Statistical Computing

This is a course on the use of computer tools for data management and analysis. The focus is on a few popular data management and statistical software packages such as SQL, SAS, SPSS, S Plus, R, and JMP although others may be considered. Data management and manipulation techniques including queries in SQL will be covered. Elementary analyses may include measures of location and spread, correlation, detection of outliers, table creation, graphical displays, comparison of groups, as well as specialized analyses.

Data Analysis Methods

This course covers the fundamental concepts of applied data analysis methods. Various aspects of linear and logistic regression models are introduced, with emphasis on real data applications. Students are required to analyze data using major statistical software SAS and R. BANA 7038 should not be taken for credit by MS-Business Analytics students.

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