Bachelor of Science in Public Health
AI Innovation in Population Health Emphasis
Learn to apply artificial intelligence where it matters most - improving the health of entire communities. This emphasis prepares you to lead at the intersection of public health and the fastest-growing technology sector of our time.
Available to Declare for Fall 2026!!
Artificial intelligence is not a distant possibility in public health — it is already here. Health departments are using machine learning to predict disease outbreaks. Hospitals are deploying AI to reduce diagnostic errors. International organizations are building surveillance platforms that can detect epidemics weeks before traditional systems do. And the professionals who can bridge the gap between population health expertise and AI capability? They are in extraordinarily high demand.
This emphasis exists because the public health workforce needs people who understand both sides: the science behind community health and the tools that are reshaping how we practice it. You will not just learn about AI as a concept. You will learn how to actually use it — to analyze health data, evaluate digital interventions, navigate ethical dilemmas around algorithmic decision-making, and design strategies that make AI work for real communities, especially those who are too often left behind by technological advances.
Whether you see yourself working in a local health department, a tech company with a health mission, a global NGO, or a federal agency pushing to modernize public health infrastructure, this emphasis gives you the skills and the credibility to walk into those spaces and contribute from day one.
| REQUIRED COURSE (3 units) |
| GHI 463 - Foundations of Public Health Applications of Artificial Intelligence |
| COMPLETE 9 ADDITIONAL UNITS |
| EPID 453 Health Data Science Practice |
| HSD 415 Design Visualization Practices for Health |
| HSD 420 Makerspaces, Design Practices, and Community Impacts |
| BSM 441 Diagnostic Technologies and Their Role in Healthcare |
| INFO 402 Data Ethics |
| SOC 301A Introduction to Computational Social Science |
| BIOS 452 Health Data Analysis and Communication Methods |
| PHP 465 Leadership and strategy for Population Health Using Generative AI |
CAREER FIELDS
- Health AI/ML Analyst
- Digital Health Program Coordinator
- Public Health Data Scientist
- Health Informatics Specialist
- AI Policy Analyst (Health Sector)
- Surveillance & Outbreak Analytics
INTERNSHIP REQUIREMENTS
This major requires students to complete 6 units of internship prior to graduation.
LEVEL OF MATH
Moderate Knowledge
EMPHASIS REQUIREMENT
All students are required to declare an emphasis in order to complete internship units prior to graduation.
CURRICULUM OVERVIEW
All students are required to complete major core and emphasis specific coursework in order to graduate.
For more information about declaring a public health degree, please contact the Office of Student Affairs Undergraduate Advising.
Send an email to coph-undergrad@arizona.edu