Data-Driven Public Health Solutions

The Quantitative & Qualitative Health Sciences Department at the is uniquely positioned to lead and support research, educate the next generation of public health students, and provide service to the broader community. We believe that in an era of data abundance, it is crucial to develop public health professionals who can critically evaluate data, communicate effectively, and maintain the voices of the community in a world increasingly dominated by artificial intelligence and machine learning.

Informing Public Health Decisions in the Community

The Department of Quantitative & Qualitative Health Sciences at the School of Public Health is dedicated to promoting data-driven, community-centered research that addresses health disparities and supports local service initiatives. 

Our academic focus areas include:

  • Data Literacy: Equipping students with the skills to evaluate data quality, conduct appropriate analyses, and present data in a clear and accessible way for a wide range of audiences.
  • Community-Centered Approach: Combining qualitative and quantitative data to ensure the voices and experiences of those affected by health challenges are heard and understood.
  • Promoting Health Equity: Focusing on identifying and reducing health disparities, particularly with regard to the potential impact of emerging technologies like AI and machine learning, which may widen existing inequalities.
  • Local Service: Partnering with the local community and surrounding region to address public health needs through research, collaboration, and education.

The department aims to advance health equity by promoting a blend of rigorous data analysis, community engagement, and a commitment to addressing health disparities.