Certificate in Health Equity and Leadership

Admission 

To be admitted into the certificate program, the applicant must:

  1. Be admitted to Wichita State University in a degree program or in nondegree seeking A status. All policies relative to admissions apply. International students will not be issued I-20 for certificate programs alone. International students may obtain this certificate only while concurrently pursuing an undergraduate degree.
  2. Have a minimum overall GPA of 2.000 (on a 4.000 scale).

Program Requirements 

An undergraduate certificate in health equity and leadership allows undergraduate students and working professionals to expand their knowledge and skills in the area of public health. Those who complete the certificate will:

  1. Learn about health disparities and health inequality through an interdisciplinary set of courses;
  2. Be trained to identify the underlying causes of health inequities; and
  3. Be trained to develop and lead the implementation of effective solutions.

Fifteen (15) total credit hours are required to complete the certificate. The courses must be taken in at least three departments across at least two colleges. An overall grade point average of at least 2.000 for all courses comprising the certificate program, and no grade below C, is required to earn the certificate.

Course Title Hours
Required Courses
Select one of the following3
Population Health and Health Disparities
Social Inequality
Select one of the following3
Adaptive Leadership
Organizational Behavior and Leadership in Health Organizations
Survey of Leadership
Adaptive Leadership
Electives
Select three of the following9
Epidemiology
Health Communication
Foundations of Healthcare Economics
Diversity and Aging
Public Health and Aging
Research Methods
Social Psychology
Introduction to Sociological Theory
Introduction to Social Research
Introduction to Social Statistics
Health & Lifestyle
Social Epidemiology
The Social Consequences of Disability
Medical Sociology
Statistical Methods I
Statistical Methods II
Machine Learning
Introduction to Data Mining and Analytics
Total Credit Hours15