Full-time MS in Business Analytics

ACADEMICS

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Full-Time, STEM-Designated MSBA Program

Transform Analytics Into Business Insights

Designed for students early in their careers, the MS in Business Analytics builds both core and advanced analytics skills through a highly structured, hands-on curriculum. You’ll progress from foundational concepts to applied, real-world problem solving through experiential projects, applied labs, and targeted casework. You’ll learn to analyze data, build models, and apply AI tools in real-world business contexts—developing job-ready skills that transcend industries, fields, and geography.

  • Academic Tracks

    AI in Business, Business Analytics, Marketing Analytics, Supply Chain Analytics

  • Months to a Masters Degree

  • Value for Money

    Among U.S. Programs (QS, 2026)

    The Goizueta Difference

      Hands-On Analytics Experience

      • Analytics Practicum Overview
      • Applied Academics
      • Gaining Skills & Confidence

      Past Course Project Highlights

      • Delta Airlines Pre-Boarding Recommendation System

        Students designed and built a full database system, combining relational and NoSQL databases to manage complex data flows. Using synthesized data, they developed a recommendation engine integrated into a website that delivers personalized suggestions to travelers waiting for flights—demonstrating how analytics can drive customer engagement and business value.

      • Database Design and Feature Expansion for Airbnb

        Students examined how Airbnb’s data systems use relational and NoSQL databases to manage millions of users, listings, and bookings. They designed a new “Travel Assistant” feature that provides personalized recommendations for flights, car rentals, and local events. By building a real-time data pipeline with tools like Kafka and Spark, students demonstrated how modern analytics and thoughtful database design can enhance user experience and make travel planning more seamless.

      • Starbucks: Innovative Menu and Custom Recipes

        Students designed a big data infrastructure to manage Starbucks’ extensive customer, store, and product information. They then applied AI to develop a recommender system that generates personalized drink recipes based on customers’ fitness and nutrition goals—showcasing how analytics and AI can drive innovation and enhance the customer experience.

      • JD.com: Drivers of Delivery Delays

        Students analyzed how e-commerce distribution network structures impact delivery efficiency using data from one of China’s largest retailers. Through exploratory data analysis and machine learning, they identified that concentrated networks with a few large distribution centers—and backup capacity at each—outperform dispersed networks, revealing key factors that drive faster, more reliable fulfillment.

        Four Academic Tracks

        Tracks: AI In Business, Business Analytics, Marketing Analytics, Supply Chain Analytics

        Build a foundation in the fundamentals of business analytics—business statistics, business analytics, social network analytics, machine learning, data visualization, and designs analytics & optimization—then choose electives tailored to your areas of interest to complete a track. Tracks include: AI in Business, Business Analytics, Marketing Analytics, and Supply Chain Analytics.
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        Goizueta Experts

        • Leading the Conversation

          Chellappa led the way on defining the term “Cloud Computing.” It’s no surprise he is leading the way in business analytics education. His expertise is in electronic markets, pricing, digital goods piracy, and economics of information security and privacy.
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        • Tackling Big Tech

          Prior to joining Goizueta, Todri developed award-winning, cross-platform advertising strategies for Google and co-founded a tech start-up with a new business model. She employs state-of-the-art quantitative modeling and machine-learning methodologies in her research and teaching.
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        • Exploring How Tech Changes Us

          A senior business intelligence engineer and consultant prior to joining academia, Adamopoulos researches how information systems and technological artifacts affect user behavior and transform business and society with a focus on personalization and mobile and social commerce.
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