Master of Science in Business Analytics
Baylor Business

Master of Science in Business Analytics

Be a part of the future with a STEM-designated degree in Business Analytics.

Program at a Glance

The MSBA is a STEM-designated degree designed to prepare you to launch a career in business analytics.  Students have the option to pair the MSBA degree with our Full-Time MBA degree to earn a joint MBA/MSBA. Doing so would give you the opportunity to learn data science while honing your leadership skills at the same time. 

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Confidence

Hands-on, face-to-face learning that is collaborative and rigorous and will position you for competitive job opportunities upon graduation.

STEM Degree

A cross-disciplinary degree that incorporates multiple fields of study within Departments of Information Systems and Statistical Science, that gives you the opportunity to work with leading analytics tools.

Commitment

The one-year MSBA degree or two-year MBA/MSBA joint degree program delivered on the main campus in Waco will enable you to immerse yourself in learning how to mine and analyze data.

Faculty

Faculty are industry experts who are committed to bringing you the most work-relevant education available.

Cost

Scholarships that cover 65% of tuition costs are offered to all admitted students, resulting in a very competitively priced MSBA degree.

Criteria

No work experience required.  A minimum of 3 hours of Statistics or QBA and some experience with Python Programming is required.

The Master of Science in Business Analytics (MSBA) degree is a STEM-designated program, cross-disciplinary degree encompassing multiple fields of study within the Hankamer School of Business and the Department of Statistical Science at the College of Arts and Sciences.

In the MSBA program, you can pursue a degree that prepares you for careers as a professional business analyst by:

  • Learning the fundamentals of information technology and statistics
  • Learning tools to understand and visualize data
  • Learning fundamental skills in modeling and analysis of multivariate data
  • Learning tools for predictive data analysis and forecasting
  • Improving programming skills to the professional level for data analytics
  • Providing a framework to examining ethical implications of collecting and managing big data