DA 320 Data Acquisition and Management • 5 Cr.


Learn concepts of data collection and management. Topics include collecting data ethically from different sources, assessing data quality, learning techniques to clean, process, and store big data while maintaining privacy and security. Students research real-world examples, using cloud techniques and common statistical software to produce reports and presentations. Prerequisite: Admission to the BAS Data Analysis and Management program and BUSIT 103 with a C or better; or admission in the BAS IST Artificial Intelligence concentration; or permission of the instructor.


After completing this class, students should be able to:

  • Utilize data management to enable analysis and insights
  • Evaluate the merits of cloud computing and big data storage to select an appropriate data handling method
  • Establish data pipelines and recommend approaches for connecting external data sets to an internal data solution
  • Apply an array of data tools to process and store high-velocity data
  • Employ new data skills to craft a full end-to-end process of data capture, analysis and recommended next steps