Students collaborating in a computer lab for during a Health Informatics class.

College of Science and Health
M.S. In Health Informatics

Excel in Health Informatics Roles

Health Informatics is a growing specialization within the Public Health and Analytics fields. This degree is focused on training professionals to gain expertise in technology and systematic data-driven approaches to address community and population health issues. Data-driven approaches involving data collection, analysis, and informed interpretation can help improve public health processes and decision-making, whether one is identifying health trends, monitoring disease outbreaks, or informing public health programs or policies. Health informatics is an interdisciplinary field that draws on knowledge from analytics, computer science, information technology, healthcare, and public health principles to help address needs effectively within a range of work settings and in a variety of health-related careers.

Program Details

Learning Goals for the M.S. in Health Informatics Program

  • Demonstrate a thorough understanding of how to collect, store, and manage health data effectively, including database design and implementation;
  • Analyze and visualize health data to identify trends and patterns;
  • Forecast healthcare trends and improve operations;
  • Apply informatics within various public health arenas, including disease surveillance, prevention, and intervention programs

Program Structure

The M.S. in Health Informatics program requires the successful completion of 12 courses (including the Capstone), or 36 semester credit hours, earning at least a grade of “B” or better in each course. With careful planning, if students complete 2 classes each term (6 credit hours) over 6 consecutive terms (including the summer), the degree program can be completed with one year.

Learning Goals for the M.S. in Health Informatics Program

  • Demonstrate a thorough understanding of how to collect, store, and manage health data effectively, including database design and implementation;
  • Analyze and visualize health data to identify trends and patterns;
  • Forecast healthcare trends and improve operations;
  • Apply informatics within various public health arenas, including disease surveillance, prevention, and intervention programs

Program Structure

The M.S. in Health Informatics program requires the successful completion of 12 courses (including the Capstone), or 36 semester credit hours, earning at least a grade of “B” or better in each course. With careful planning, if students complete 2 classes each term (6 credit hours) over 6 consecutive terms (including the summer), the degree program can be completed with one year.

Career Opportunities

Benefits of a master’s degree in health informatics:

Professionals with a background in public health can leverage their knowledge of health policy and population health to excel in health informatics roles, particularly in public health agencies and research institutions. Professionals with a background in analytics can add expertise in health systems to take on leadership roles in health informatics, whether in public health agencies, research institutions, or healthcare industry settings. Potential career paths include the following:

  • Public Health Informatics Specialists–focus on using data and technology to address public health issues
  • Health Informatics Consultants–advise healthcare organizations on how to use data and technology to improve their operations and patient care as well as public health initiatives.
  • Clinical Informatics Managers–lead clinical informatics teams.
  • Data Analysts–analyze large datasets to identify population trends and patterns and to improve decision-making.
  • EHR Implementation Specialists–help healthcare organizations implement and manage electronic health records systems crucial for data collection and sharing in public health.
Courses

Here is an example of some courses you may take in the MS in Health Informatics program:

  • Analytical Tools for Management Decisions
  • Programming for Information Systems
  • Computer Organization and Architecture
  • Business Data Analysis
  • Data Management
  • Health Behavior Theory
  • Social Determinants of Health