College Description of Medical Imaging Data Analytics
This course introduces imaging analytics with expanded emphasis on data mining, performance dashboards, and predictive modeling. Students learn to interpret imaging data and support clinical decision making. Additionally, the course strengthens analytical reasoning and prepares students for advanced informatics roles.
Course Objectives of Medical Imaging Data Analytics
Students will learn to analyze imaging datasets, interpret performance dashboards, evaluate predictive models, and apply analytics strategies. They will also strengthen analytical reasoning, technical interpretation, and data literacy.
Key Topics Covered During Medical Imaging Data Analytics
Data mining, performance dashboards, predictive modeling, imaging datasets, and analytics strategies. These topics provide the foundation for understanding imaging analytics and support advanced clinical applications.
Student Assessment During Medical Imaging Data Analytics
Assessment includes exams, data analysis tasks, dashboard evaluations, and predictive modeling assignments. Students will also complete activities that reinforce analytics concepts and strengthen technical reasoning.
Average College Credits for Medical Imaging Data Analytics
3
Prerequisites For Medical Imaging Data Analytics
PACS and Imaging Informatics
What Department Teaches Medical Imaging Data Analytics
Imaging Informatics
Who Teaches Medical Imaging Data Analytics
Informatics faculty.