UTA Business Building

Master of Science in Business Analytics - A STEM Program

Increasingly companies rely on insights from data to achieve and sustain a competitive advantage. A recent report by the McKinsey Global Institute (MGI) projects that by 2018 the United States may face a 50 to 60 percent gap between supply and the requisite demand of deep analytic talent, i.e., people with advanced training in statistics or machine learning. According to Venture Beat News, the big data industry is expected to be a $53.4 billion industry by 2016.

To answer the clarion call for building analytical expertise in the workforce that can address present and future concerns of an organization, the College of Business has developed a program in Business Analytics second to none in content and delivery.

The Master of Science in Business Analytics (MSBA) program is designed to create an empowered workforce that understands how data - regardless of size, variety, volatility, and level of uncertainty – can be harnessed to deliver value to an organization. Not only does the program provide a solid foundation in statistical, computing, and analytical techniques, but it also exposes students to data analytic exemplars from a variety of domains. The UTA College of Business MSBA has the following distinguishing characteristics.

  • A rigorous curriculum carefully designed in conjunction with an advisory board comprising top-performing companies in the region;
  • An emphasis on solving practical analytical problems from diverse disciplines, including healthcare, marketing, accounting, finance, economics, and human resources;
  • An ideal blend of technical and business acumen that focuses on data understanding, data pre-processing, model building, analyzing the data and interpreting the results;
  • A project-based capstone course that affords an opportunity to engage with a company and work on a real-world problem;
  • A cross-functional program designed to help students broaden their perspectives and learn how classification and predictive analytics may be used in diverse fields; and
  • A program that emphasizes an holistic view of data, continually reminding students of the need to integrate outside sources of data (e.g., social media, social graphs) and internal data to acquire business and/or marketing intelligence.