How to Apply
Learn about the admissions process and requirements to apply.
Learn cutting-edge marketing research and marketing analytics techniques needed to generate marketing insights and inform marketing strategy decisions. As part of the Rutgers Stackable Business Innovation Program (rSBI), the Marketing Analytics Concentration is stackable with the following master's programs: MS in Digital Marketing, MBA.
This concentration focuses on gaining insights into the market and its customers. Marketing Research introduces basic survey and analytical methods for studying consumer attitudes, opinions, preferences, and choices. Customer Journey Analytics combines and analyzes various digital and non-digital customer touchpoint and identifies strategies to influence their decisions throughout the consumer purchasing journey. Advanced Marketing Analytics covers various marketing decision models and tools with hands-on analysis. The capstone course, Marketing Insights, is based on cases studies to solve various marketing problems by integrating qualitative and quantitative analytical tools and generating marketing insights for informed business decisions.
You can take the course listed below as individual classes or as stackable courses towards the completion of a concentration.
This course provides insight into the nature and assumptions of marketing research conducted by corporations and commercial research companies. It provides practical experience in planning and implementing marketing research by covering research plans, questionnaire design, conducting surveys, data collection, application of statistical analysis such as multidimensional scaling, cluster analysis, and conjoint analysis; report writing and communication of research results.
This course introduces the concept of a customer journey which spans digital channels (web, mobile, app) and non-digital touchpoints (1:1, call center etc.). Customer Journey Analytics is the process of tracking and analyzing the way customers use combinations of channels to interact with an organization. The focus of the course is on digital analytics through practical applications, with an end goal of deriving actionable insights that will impact the organization’s acquisition, experience and retention strategies. It provides a broad overview of key digital analytics strategies, concepts, issues, challenges and tools.
This course will cover statistical models and techniques that can be effectively used by managers on marketing datasets. This course emphasizes data situations that students are likely to face in marketing and consulting jobs. The main topics covered in this course are customer value measurement, segmentation & targeting analysis, positioning analysis, new product design decisions, and new product forecasting models. This course integrates marketing concepts with practice and emphasizes learning by doing. It provides software tools to help you apply marketing concepts to real decision situations. Students will learn to use several statistics software packages such as MEXL, SPSS, and Number Analytics. The 60% of the course consists of hands-on data analysis; students will work on datasets that are provided by the book-cases and also the ones provided by the instructor.
This is a capstone course for Marketing Analytics which combines all aspects of marketing research process in cased-based projects. Students will be trained to integrate results from exploratory, descriptive, and causal research processes and combine both qualitative and quantitative results to make persuasive presentation of the finding. In addition, the course will cover issues of client-vendor communication during the research process. The course will be based on textbooks, assigned readings, case analyses, and student projects.
The concentration and courses are offered by the Marketing Department
Sample Relevant Careers: Brand Manager, Business Analyst, Demand Forecasting Associate, Demand Planning Associate, Marketing Associate, Marketing Manager, Product Manager, Marketing Research Associate