College of Pharmacy and Health Sciences

Health Informatics and Analytics

The online Master of Science in Health Informatics and Analytics (MS HIA) empowers students to apply data analysis and information technology solutions to the evidence-based delivery of health care. Available as a joint degree option for Drake pharmacy students or as a stand-alone program for current clinicians, healthcare administrators, and information technology workers looking to advance their career, the program provides students with the opportunity to collaborate effectively with data scientists, statisticians, and healthcare professionals in interdisciplinary healthcare settings.

Graduates of the MS HIA program will be particularly agile in the fast-changing healthcare landscape, and well-positioned to take on innovative roles in the health care information technology field. The unique inclusion of data analytics with informatics addresses the growing employer demand in graduates with both of these skills.


Admission

  • GPA Requirement:  3.0 from a regionally accredited institution

 

Curriculum

Course Credits
Required Courses
HLTH 264 - Beyond Ethics: Policy and Health Care, or
HLTH 266 - Healthcare Regulation, Law and Advocacy
3
HSCI 201 - Introduction to Health Informatics and Analytics 3
HSCI 260 - Survey of Evidence Based Health Care 3
HSCI 285 - Practicum/Capstone 3
IS 231 - Data Management and Visual Analytics, or
MDAL 230 - Data Management and Visual Analytics
3
MDAL 240 - Statistical Modeling, or
STAT 240 - Statistical Modeling
3
Elective Courses
HSCI 270 - Practicum/Capstone (may be fulfilled by HSCI 285 with permission) 1
HLTH 261 - Health Care Policy 3
HSCI 261 - Review of Statistics for Evidence-Based Health Care 3
HSCI 262 - Critical Appraisal in Evidence Based Health Care 3
HLTH 263 - Health Care Administration 3
IS 210 / MDAL 210 - Business Analytics, Teams, and Projects 3
IS 220 / MDAL 220 - Information Technology Legal and Ethical Issues 3
MBA 245 - Leading with Data 3
MBA 254 - Leadership and Human Capital Development 3
QUAN 270 - Quantitative Analytical Methods 3
STAT 260 / MDAL 260 - Applied Analytics Project 3
Other courses as approved by the program director

The information in this catalog does not constitute a contract between the university and the student. The university reserves the right to make changes in curricula, admission policies and processes, tuition and financial aid, academic standards and guidelines, student services and any other regulations or policies set forth in this catalog without giving prior notice.