Program Description

The Master of Science in Business Analytics program is designed to equip students with the skills and knowledge necessary to analyze and interpret complex data sets for making informed business decisions, while effectively communicating those insights to diverse stakeholders. It will equip students with a comprehensive skill set for navigating the dynamic intersection of business and data analytics. Through a rigorous curriculum, hands-on projects, and real-world applications, students will develop the expertise needed to harness the power of data in driving strategic business decisions. The impact of artificial intelligence (AI) on business efficiencies and effectiveness will be examined, and predictive analysis will be used to uncover patterns, forecast trends, ensure data security. This program encompasses the key areas of statistical analysis, programming proficiency, database management, data visualization, machine learning, business intelligence, and ethical considerations.

Coursework in this program provides a foundation for select industry certifications. These certifications enhance employment opportunities but are not a state specific requirement.

Program Outcomes 

Upon completion of this program, the student should be able to:

1. Combine appropriate statistical methods and exploratory data analysis (EDA) techniques based on diverse business datasets to extract meaningful and actionable insights.
2. Use high level programming languages (such as SQL, Python, and R) to facilitate data-driven business solutions.
3. Design an appropriate database for cleansing, storing, and retrieving data efficiently based on business specifications.
4. Build artificial intelligence (AI) and machine learning algorithms and predictive modeling techniques to solve business problems.
5. Create business intelligence visualizations and reports to communicate analytical findings to diverse stakeholders and to contribute to informed decision-making.
6. Develop data governance policies and standards that incorporate ethical considerations, legal implications, and privacy challenges associated with data collection and usage.

Program Content

A minimum of 34.00 semester credit hours is required for graduation.