Data, Analytics, Technology Academics

Analytics Academics

Teaching skills in data is critical. Our curriculum provides multiple opportunities for students to sharpen their data analytics skills through Intensive Learning Experiences and electives at McDonough and across Georgetown University.


Certificate in Consumer Analytics and Insights

Students who earn the MBA Certificate in Consumer Analytics and Insights will be prepared to identify sources of data to examine how an organization’s actions affect relevant decisions, select suitable methods to analyze these data, and understand the risks involved. These courses consist of hands-on consumer analytics projects and opportunities to engage with experts. Events include invitation-only speaker events, events hosted by Georgetown’s Massive Data Institute, as well as events hosted by federal agencies and D.C.-based firms and organizations.


Data Visualization: Students will learn the design process of finding, collecting, and exploring data; constructing compelling stories with data; and using design to bring those elements together.

Strategic Business Analytics: The emphasis of this course is on gathering and analyzing facts efficiently through the application of proven analytical methods, catering to the needs of consulting firms that recruit extraordinary problem-solvers.

Marketing Analysis and Customer Strategy: As a business discipline, marketing is the process of planning and executing the conception, pricing, promotion, and distribution of ideas, goods, and services to satisfy individuals or organizational objectives. This course will study the managerial processes behind the marketing of products and services in an international setting.

Info-Based Investment Strategy: This Intensive Learning Experience (ILE) examines information-based investment strategies employed by various investment funds throughout the world. Students will be able to identify, interpret, and use financial accounting and other relevant information to back-test and develop their own information-based investment strategies.

Managing Technology/Disruption: This course aims to identify emerging technologies, the implications and timing of impacts upon society, developing strategies to improve an organization’s chance of success in this dynamic environment, and understanding the integrative nature of tech change by applying the lessons from the course.

Digital Advertising: This course focuses on search advertising, web analytics and tracking, strategies to be “found by online consumers,” and how to profit from a large number of visitors.

Financial Analysis and Modeling: This course builds on the topics covered in the finance core by using the concepts to build financial models that answer questions finance professionals commonly face.

The Fintech Revolution: This course provides an overview of the fintech landscape by examining the perspectives of banks and financial institutions, fintech startups, technology service providers, government, and financial customers.

Data and Society: This course focuses on real-world applications by hosting industry experts to provide the broader context for how businesses collect and use consumer data.

Customer Analytics: This course aims to provide a progressive education in customer analytics.

Practicum: Consumer Analytics: Through partnering with client organizations, this course is designed to provide students with hands-on experience in deriving insights through the analysis of customer data.

Decision Support Systems: This course explores advanced topics in management support systems with a focus on decision theory. The course will present insights into key issues and problems in decision support information systems. The Visual Basic Applications (VBA) programming language within Microsoft Excel will be used as the primary tool to build basic decision support systems.

Decision Theory: Small Data: Small data refers to tidbits of data created by customers as they go through the day. These individual digital traces are generally a small sample sized and not normally distributed, but this course will help you make decisions by analyzing this data effectively.

Data Science for Business Decisions: This course will help students understand the techniques used in a data-informed business analysis to help leaders make smart business decisions.