Online Master's in Business Analytics

Brown’s online Master of Science in Business Analytics equips working professionals with broad-based data analytics and decision-making skills through a curriculum that includes data management, statistics, machine learning, and artificial intelligence to prepare them to lead and innovate in their fields.

Program Overview

The online Master of Science in Business Analytics program extends Brown University's commitment to preparing working adults to become competent, innovative, and ethical business professionals and leaders. By offering a comprehensive and flexible curriculum tailored to current industry demands, the Master of Science in Business Analytics program equips graduates with the necessary skills to thrive in dynamic and competitive environments. The online Master of Science in Business Analytics focuses on developing data analytical and decision-making skills that can be applied to a business, government, non-profit, or educational setting, and fulfills Brown University's commitment to preparing professionals who can lead and innovate in various sectors. The Master of Science in Business Analytics is focused on developing broad based data analytic literacy; it covers a wide range of analytics related domains including data management and curation, statistics, machine learning, and artificial intelligence.

What You Can Expect to Learn as a MBAn Student

Upon completion of the program, graduates will possess the knowledge, skills, and competencies to:

• Demonstrate ability to analyze different data structures and data features as the foundation of data analytic literacy.

• Develop conceptual understanding and applied proficiency in using statistical techniques and machine learning algorithms to manipulate and analyze data.

• Demonstrate proficiency in preparing data for analyses, conducting descriptive analyses, building, evaluating and validating predictive models, and preparing summary reports, including visualizations. 

• Demonstrate proficiency with multisource analytics, including informed and effective use of emerging informational technologies, such as generative artificial intelligence.

• Demonstrate competency with using data as a key input into organizational decision-making processes.