STEM-Credentialed Program

Fast-Tracked Learning

Welcome to 10 months of business analytics immersion. In the MS in Business Analytics program, you’ll combine strong technical and quantitative training and building comprehensive business acumen. You’ll do it with the direction of some of the greatest minds in business: Goizueta professors. In a collaborative, project-driven learning environment, you’ll create innovative solutions to business problems for real-world clients. By the end of the program, you’ll see a data problem from every angle and find innovative solutions.

MS in Business Analytics Program Timeline

Explore the highlights of what 10 months in our MS in Business Analytics program look like. We combine market-relevant skills, experiential learning, and professional development to create business data scientist ready to tackle any data-driven problem.
  • Summer Semester

  • Summer Semester

    Boot Camps
    Strengthen your technical and professional skills. Participate in a series of boot camps (Math, Technology, Business, and Business Problems Solving) to refine your skills.
    View Program Catalog
  • Summer Semester

    Team Building Skills
    Put your team building skills to the test as you navigate various challenges and activities through the streets of Atlanta.
  • Fall Semester

  • Fall Semester

    Core Courses
    Gain foundational skills and hands-on business analytics experience through courses designed to help you excel in any industry. This includes business statistics, business analytics, social network analytics, machine learning, data visualization, and designs analytics & optimization.
  • Fall Semester

    Leadership Development
    Learn how to become a better leader and more effective team member. Attend seminars and events related to building effective teams and receive team and personal coaching from a Goizueta MBA Leadership Fellow.
  • Fall Semester

    Finding Your Fit
    Build your network as you engage with the Atlanta Data Science Ecosystem.
  • Spring Semester

  • Spring Semester

    Core Courses
    Gain foundational skills and hands-on business analytics experience through courses designed to help you excel in any industry. This includes managing big data, machine learning, and a capstone experience.
  • Spring Semester

    Capstone Project
    Apply the skills you learned in your coursework and solve sponsored firms’ business problems, using proprietary data. This is your chance to put your skills to the test tackling a real problem for a real client using real data.
    Capstone Project
  • Spring Semester

    Elective Courses
    Complete two elective courses and take a deeper dive into the areas of study and action-based experiences that inspire you most.
  • Spring Semester

    Career Trek
    Travel to the West Coast and witness analytics in action as you engage with tech firms and Goizueta alumni residing in the West Coast.
  • Spring Semester

    After just 10 months, you will graduate Goizueta Business School armed with a robust set of skills and experiences to elevate your career to the next level.

Course Map by Semester

MSBA program structure


This course examines how statistical methods lead to understanding and describing data. We use R/RStudio to review basic data exploration and statistical methods. Topics covered include simple descriptive statistics through hypothesis testing and modeling.

In this course, students gain competence in practical database, data warehousing, and data management skills with emphasis on query, data modeling, ETL, and data management. They will also become familiar with major elements of the big data ecosystem.

Learn modern network analysis methods and how to apply them to network data. Study the latest in theory, methods, and substantive applications. This course covers the application of network theory to the study of careers, competition, innovation, inequality/stratification, IT-mediated networks, network formation, and network dynamics.

This is an introduction to basic concepts in machine learning, both supervised and unsupervised. The basic ideas of neural networks will be presented. Machine learning from data streams (online learning) using stochastic gradient descent is also covered.

Where the art of graphic design meets with the science of data analytics. Learn how to perform exploratory analysis through visualization, how to create professional-looking visualizations for use in business reports and presentations, and how to design interactive visualizations and dashboards.

Delve into a number of selected current and emerging data analytics areas that are increasingly important for organizations. Areas include advanced elements of the predictive modeling process, ensemble methods, cost-aware data analytics, mining text and data, recommender systems, and other advanced topics.

This course introduces students to optimization and simulation, powerful techniques for better decision-making (in particular, linear, integer and non-linear programming), and Monte Carlo and discrete event simulation, and discuss their application to problems in business and data analytics.

The MSBA Capstone Course leverages skills and techniques learned throughout the course of the program and applies them to real-world business situations. Students formally define problems, clean data, aggregate with other data sources, and identify and use appropriate analytical techniques to address questions.

This course uses analytic methods to solve marketing problems (including pricing, customer relationship management and sales forecasting). We emphasize the development of tools that can be implemented in practice to support decision making and rely on frequentist and Bayesian methodologies.

This course focuses on tools and techniques applicable to decision making in sports. The analytical foundations for the class are classical statistical and optimization techniques. We solve sports problems using tools such as linear regression, logistic regression, Markov chains, and optimization.

This course introduces students to statistical and computational methods used in employee recruitment, selection, promotion and turnover. A significant portion of the course is devoted to experimental methods designed to test the efficacy of HR policies before an organization implements them.

Goizueta Experts

Start with a Solid Foundation

STEM-credentialed program

You want to be ready to lead at the critical nexus where business, data, and technology intersect. With our STEM-credentialed, multidisciplinary curriculum, you can. So what is it about Goizueta that separates us from the rest? Start with the fact that you will be taught by business school faculty with deep academic knowledge and extraordinary industry experience. Pair that with a small, intimate learning community where you will be guided by both academic and industry mentors. In addition to the normal Optional Practical Training (OPT) period of 12 months, a STEM degree allows for a 24-month extension of post-completion OPT, offering a total eligibility of up to 36 months.

Real Data. Real Clients. Real World.

MSBA Capstone team

MS Business Analytics Capstone Projects

Learn by doing. That’s the philosophy that drives our MS in Business Analytics program. You’ll work within a small team mentored by faculty to apply everything you learned in the program to devise a data-driven solution for a real client business problem. Projects conclude with an industry day where you’ll present the analysis and findings of your work to the firms that have shared their data.

Gaining Confidence to Implement Change

Sherrie Liu 18MSBA

Originally from China, Sherrie Liu earned her undergraduate degree in the U.S., majoring in marketing and minoring in art history. After working for a little more than two years at Unilever in customer development, she decided to earn an MS in Business Analytics from Emory to help her focus on "looking at the numbers and really trying to figure out what was going on in the business."

The Goizueta Difference