The MS in Health Data Analytics Program will focus on four competencies:

  1. Public health domain knowledge
  2. Data handling (aka wrangling), including relevant regulations and laws
  3. Development of data warehouses from disparate repositories
  4. Advanced analytic techniques appropriate for very large databases
  5. Translation of data into knowledge into action items

Demonstration of Competency

Competencies are demonstrated in the classroom through actual hands on use of real data and data analytic techniques, homework assignments, course projects, and the MSHDA Capstone project.

Self-Assessments during the Program – Each student will complete a set of self-assessments that measure their analytics competencies using a standardized AHIMA pre-test. These assessments are completed at the beginning, middle, and end of the Program. In addition, self-assessments built into many of the courses in the curriculum.

Exit Interview – All graduating students complete an online assessment and are interviewed by the Program Director to determine how successfully the curriculum improved the student’s competency attainment while in the Program.

Alumni Survey – All graduates will be asked to respond to a survey three and five years post-graduation. These surveys will measure how they perceive their competency attainment in the Program based on their work experience in the field.

MS in Health Data Analytics Capstone Course- The capstone project requires the rigorous application of multivariate techniques such as regression model building and other analyses for single and multiple groups. Students must submit a written report of their findings and write a detailed synthesis and discussion on the choice of the methodologies used in the analyses, and the meaning of the analyses. The capstone course is a summary of all concepts the students learn in the MSHDA program in preparation for the CHDA examination.


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