Undergraduate Certificate in Health Equity and Leadership

The certificate program has three (3) goals:

  1. To train future professionals on health disparities and health inequality through an interdisciplinary set of courses.
  2. To train individuals to identify the underlying causes of health inequalities.
  3. To train them how to develop and lead the implementation of effective solutions.

Upon successful completion of the certificate program, students will:

  1. Know about current health disparities, the prevalence, and impact on populations.
  2. Know about underlying causes and social determinants of health.
  3. Be familiar with theories regarding health inequities.
  4. Be able to identify, describe, and suggest possible solutions to address/reduce health inequalities in different populations.

Students have to complete 6 credit hours of required courses and select 9 credit hours of elective courses, for a total of 15 credit hours.

Required Courses (6 credit hours)
Select one of the following
PHS 413 Introduction to Social and Behavioral Aspects of Public Health
SOC 330 Social Inequality
Select one of the following
PHS 408 Leadership in Self and Society
PHS 333 Organizational Behavior and Leadership in Health Organizations
HNRS 351 Survey of Leadership
PSY 413 Leadership in Self and Society

Elective Courses (9 credit hours)
Select three of the following
PHS 325 Introduction to Epidemiology
PHS 410 Health Communication
PHS 478 Health Economics
PHS 512 Diversity and Aging (Diversity and Aging - formerly AGE 512)
PHS 623 Public Health and Aging (Public Health and Aging - formerly AGE 622)
PHS 702 Research Methods (Research Methods - formerly AGE 702)
PSY 323 Social Psychology
SOC 311 Introduction to Sociological Theory
SOC 312 Introduction to Social Research
SOC 313 Introduction to Social Statistics
SOC 338 Health & Lifestyle
SOC 399AC Social Epidemiology
SOC 537 The Social Consequences of Disability
SOC 538 Medical Sociology
STAT 571 Statistical Methods I
STAT 572 Statistical Methods II
CS 770 Machine Learning (Machine Learning - formerly CS 697AB)
IME 734 Introduction to Data Mining and Analytics