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BMI 5317 Applied Data Management

3 semester credit hours
Lecture contact hours: 2; Lab contact hours: 3
Web-based instruction
Prerequisites: BMI 5300 or consent of the instructor.
Lab Fee: $30

This course provides a broad foundation for health care data management. Students will develop a data model for a relational database, evaluate the quality of a variety of datasets, utilize common tools to produce actionable information from data, and develop and design processes for effective data and information governance. After the introduction of key theories and concepts across these topics, students will complete hands-on projects.

Upon successful completion of the course, students will:

  • Construct a draft data model and relational database structure to address a health care scenario.
  • Select and utilize SQL and Excel data functionality to produce actionable information for decision-making.
  • Evaluate the quality of data in a dataset.
  • Develop policies and design processes for effective data and information governance.