Business Analytics

Overview

The Business Analytics program from Babson College trains future business leaders on state-of-the-art business analytics tools and techniques, and entrepreneurial thinking and acting so you can navigate complex business problems and create innovative solutions using data analytics. You will also learn managerial skills that are in high demand globally.

• Identify and formulate business problems or opportunities with data analytics.
• Communicate these effectively with senior managers and other data scientists in your organization.
• Produce coherent and relevant analyses
• Turn the results into actionable tactics and strategies for success

What Makes Babson’s MSBA Different?

• STEM-Designated. International students on an F-1 visa may be eligible for a 24-month extension of post-completion OPT to work in the U.S.
• Entrepreneurial mindset and faculty. Learn from world-renowned thought leaders and innovators at a top school of business who will teach you to combine a data scientist’s skillset with an entrepreneur’s mindset.
• Cutting-edge big data analytics tools. On your journey to becoming a data scientist, you will learn to use advanced analytical techniques to support organizational goals and strategies. You will also gain a deep understanding of prescriptive analytics, predictive analytics, cognitive technologies, machine learning, marketing analytics, and information technology. Prescriptive analytics is a core strength of the Babson experience and often rare in other programs.
• Gain the skills employers want. Stand out in the job market with fluency in programming languages and data visualization software. We built the MSBA curriculum with input from employers, ensuring you’ll learn the right skills to stand out in the job market. These skills include R, SQL/no SQL, Tableau, and marketing analytics certifications.
• Storytelling and communicating with data. All graduates of Babson’s MSBA program are skilled at summarizing and communicating insights for different audiences using visual, oral, and verbal methods. You will also learn how to make a logical, clear, and persuasive case for or against the value of using analytics.