The fall full-time Master of Science in Marketing Research program (MSMR) is a one-year, 34-credit program that includes a team-based capstone project or internship experience.
Students in the fall full-time cohort will start in fall semester 2019 and graduate after summer semester 2020, with three semesters on campus. Students have the option of seeking a summer 2020 internship or participating in a team-based capstone experience working on a real marketing research project for a real organization.
The deadline to apply for the fall 2019 cohort is April 15, 2019.
While post-graduation jobs for international students in the U.S. are limited, students will be eligible for a 12-month Optional Practical Training visa, allowing them to work in the U.S. for 12 months following graduation.
Strategic and decision-making aspects of marketing functions. Analysis, coordination and execution of marketing programs. Development of strategies and tactics. Segmentation, marketing mix, market response modeling and ethics in a global context.
Collection and analysis of marketing research data for marketing decision making. Focuses on marketing research methods for data collection and introductory data analysis.
Traditional and emerging research tools that organizations use to capture the voice of the customer. Application of behavioral science research in developing deep understanding of customers that can be used in developing marketing strategies, including segmentation, positioning, branding, advertising, customer satisfaction and loyalty.
Experimental design, survey/questionnaire design, sampling and data collection in marketing.
An introduction to data visualization and the art and science behind creating visually impactful PowerPoint slides. This course will give you the tools to think like a designer, even if you’re not one. In a world of fast paced clients and massive amounts of data, the ability to bring your story to life and captivate an audience is imperative. A strong focus on visual design principals will teach you how to breakdown and simplify complex data into easily consumable information. An additional focus on PowerPoint efficiencies will help you work faster and smarter to create clean and powerful slides your audience will be excited to engage with.
Visual communication is a high-demand skill for data-minded managers. However, with the rise of “big data” and complex systems, managers are challenged with assembling data from multiple sources and, most importantly, making sense of what the data means to and for their business. To enhance your visual communication, you will practice preparing complex data, developing meaningful visuals for analysis, and crafting actionable narratives for diverse audiences leveraging the Tableau Prep and Desktop tools.
On-line Research Communities have become a key component of most enterprise insight departments. What started out as a solution for faster, cheaper sample has evolved into a strategic platform for earning consent from hard-to-reach audiences and managing continuous conversations that feed deep understanding into customer experience, product innovation, marketing and communication decisions.
And as the role of on-line communities has expanded, so have the technology platforms and service models for supporting them.
This course will focus on the most impactful use cases for on-line research communities in the insight and data ecosystems of the world’s most progressive insight organizations: from earning and maintaining consent among target audiences to managing continuous conversations to leveraging insights to impact decisions and inform systems of record. Once a command of key use cases has been achieved, the class will put those skills to use on behalf of a progressive enterprise insight department to learn first-hand how the community solution can improve business outcomes.
Advanced quantitative methods for marketing research for market segmentation and consumer choice using multivariate statistics, including perceptual mapping, multiple regression, cluster analysis, multidimensional scaling, discriminant analysis, conjoint analysis and factor analysis.
Advanced quantitative methods for marketing research. Focuses on marketing research methods for enhancing predictive models in marketing research. Includes multivariate statistical methods such as factor analysis, cluster analysis, multidimensional scaling, conjoint analysis, and other approaches. Emphasis on applications of these techniques using statistical analysis software.
International research from various elements of the marketing research process. Globalization, the research planning process (business problem and research objectives identification), research design. International qualitative/quantitative approaches, analysis, reporting/storytelling and assessment of various global regions.
This online course provides instruction on the basic functionality of the software package SPSS Modeler. Specifically, the course uses the software as it is used by marketing researchers to augment marketing decision-making through what is sometimes called “predictive modeling.” The course will focus on applying the software to gain insights into customer behaviors via analysis of real-world consumer survey data.
Secondarily, this course will provide (at the beginning and in the first few videos) a review of the base SPSS Statistics software package, along with an overview of SPSS Syntax, a programming tool used within the SPSS statistical software package to automate commonly-used commands and macros, and thereby to streamline analytical and statistical functions in SPSS.
This is an online course with live sections every alternative week. The focus of this course is to understand the emerging trends in the marketplace, which impact firm strategies in both short term and long term. Social media marketing, Sharing Economy, AI, Customer Engagement, Customer Experience.
Research in Practice & Client Research provides in-depth, on-the-job perspective from leading market research and/or industry professionals. Guest lecturers will talk about their own experiences, provide real-life examples, engage with students by answering questions, and in some cases have the students participate in individual or group exercises. The course is comprised is a series of presentations designed to give students a solid understanding of the day to day responsibilities, opportunities, and challenges in conducting research in major industries and companies. Topics covered by the industry speakers include: What type of research is conducted in their industry or practice area? What are typical examples of projects (e.g. case studies) and what is the typical role of a junior researcher? What do you need to know about this industry or practice area to be successful? What are commonly used terms and jargon in this industry or practice area? What are the expectations and desired skill sets for a successful market researcher? and finally, What is a typical career path for a researcher in this industry or practice area?
Emerging Research Design & Methods acknowledges the importance of building a solid understanding of these foundational elements. This Course aims to additionally expand upon that understanding by introducing approaches representing the ways in which innovative, and sometimes disruptive, techniques are transforming the marketing research business landscape.
Emerging Research Design & Methods is structured as a series of half-day modules, each addressing a different emerging marketing research approach. Each module is centered on a presentation by a leading industry expert in that particular approach.
Apply to become a part of the next MSMR fall full-time cohort.