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Full-Time MS in Marketing Analytics students can choose between internship and non-internship tracks to accommodate their goals. The non-internship track has a shorter timeline, but the benefits of the internship track are many, including a wealth of valuable real-world experience that can prepare you for career success, and help differentiate you from other candidates during your job search. A majority of our students choose this path for the hands-on experience and career preparation it provides.
Data Management, Warehousing & Visualization
This course builds an understanding of system data design to enable analytics to meet an organization’s analytical needs and introduces a framework for data warehousing.
Spreadsheet Modeling Using Excel for MS
This course expands students’ analytical toolkit through hands-on training in the effective use of spreadsheet-based tools for advanced managerial analysis.
Analytics Design & Applications
This course focuses on designing effective analytics that solve managerial problems. The course leverages software tools such as SQL, R, and Tableau.
Core Statistics for MS Students Using R
This course focuses on statistical skills and the language R, covering central tendency and variability, probability, distributions, standard scores, hypothesis testing, etc.
Economics & Marketing Strategy for MS Students
This course introduces students to the basics of economics and marketing strategy through interactive lectures and case discussions.
Programming for Analytics
This course provides a foundation in programming within the R environment. Traditional concepts are taught in context of marketing and business analytics.
This course establishes the rhetorical principles of logic and persuasion and the interactional approach to communication in groups and professional relationships.
This course helps future managers make good decisions by preparing them to analyze the environment in which their firm operates and to arrive at an appropriate pricing policy.
Predictive & Causal Analytics in R
This course will focus on what datasets, both big and small, can and cannot tell us. The tools and metrics of three kinds of data analysis will be covered: predictive, explanatory, and causal.
Marketing Analytics Project
Capstone experience for the MS Marketing Analytics program. Partnering with corporate sponsors, teams engage in database projects addressing practical marketing issues.
Advanced Predictive Analytics with Python
This course is geared towards training informed practitioners of analytics methods that can construct, evaluate, and apply analytics models in variety of settings using modern tools.
Social Media & Text Analytics
This course draws on a unique blend of social media strategies and the rapidly evolving information technologies supporting these strategies.
The course studies buyer behavior in consumer and industrial markets. Topics include: culture, social class, consumer involvement, motivation, knowledge, attitudes and group decision making.
This course explores the tools available to marketers for the promotion of products and services. Groups develop an advertising strategy for a product in a competitive category.
Digital Marketing Strategy
This course examines the major issues involved in marketing on the Internet, including: new product opportunities, the changed role of advertising, and much more.
This course equips students with the necessary skills to make profitable pricing decisions in complex business environments.
This course prepares students with the intuition and tools to make pricing recommendations, and to meet the booming demand in pricing and consulting related careers.
Consumer & Brand Research
This course focuses on key marketing research topics related to consumer and brand measurement and the analysis of this information to generate insights.
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