July 2, 2026 Transition to Virtual Operations, Campus Partially Closed

Bowie State University will be transitioning to virtual operations for all classes and office operations on Thursday, July 2, 2026, due to the extreme heat condition taxing campus systems. Majority of the campus will be closed, and all campus activities are canceled except for the Nike Tennis Camp and 2026 Summer SURI Forum and Workshops. All buildings except the Martin Luther King, Jr. Center, Student Center and residence halls will be closed. Essential personnel should report on time. For more information, please visit BowieState.edu/weather.

Department of Management Information Systems

Data Analytics Concentration

Generalist Digital Tech Credential in Data Analysis

The Generalist Digital Tech Credential in Data Analysis helps undergraduate students develop in-demand digital technology skills and access employment opportunities at leading capital region companies.

Learn More About the Credential

Data is everywhere and analysts are using that data every day to help organizations make critical business decisions. From predicting spending habits to monitoring the growth of a public health crisis, data scientists collect, manage and analyze the data needed to make informed decisions. With guidance from expert College of Business faculty at Bowie State, today’s business administration majors studying data analytics are preparing to become tomorrow’s leaders in this fast-growing field. Problem-based learning is the foundation of each course, providing students with a high-impact, experiential education that positions them for success.

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Academic Advising

View the academic advisor directory for the Business Information Systems program

The data analytics concentration combines the study of computer science, mathematics and business. In this program you will:

  • Explore data science and analytics theories, methods, models and processes.
  • Apply data management principles relating to data representation, storage, retrieval and analysis.
  • Develop model-based solutions for a given problem with datasets using statistical techniques and machine learning techniques.
  • Demonstrate critical thinking skills associated with problem identification, problem-solving and decision-making using data and analytics.