DrPH in Applied AI and Data Translation
DrPH in Applied AI and Data Translation
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Program Overview
The DrPH in Applied AI and Data Translation prepares experienced public health professionals to lead in an increasingly data-driven and technologically advanced landscape. As artificial intelligence (AI) and advanced analytics become integral to public health practice, this concentration equips students with the skills to analyze, interpret, and effectively communicate complex data to inform evidence-based strategies, policies, programs, and interventions.
The curriculum prepares student to:
- Gain expertise in utilizing AI, data visualization, and other methods to anticipate health trends, enhance surveillance, and optimize program implementation and evaluation
- Lead strategic communication by crafting persuasive, data-informed narratives that support policy development, building public trust, and improving health literacy
- Explore legal, ethical, and social considerations surrounding AI, data privacy, and other topics
Graduates will be well-positioned for leadership roles such as director of health analytics or informatics, public health AI and data strategy consultant, health communication director, or program/research director for digital and data-focused public health initiatives.
Curriculum
Program Structure
The DrPH is a fully online, 60 credit-hour program that can be completed full-time (8-11 credit hours per semester) or part-time (5-7 credit hours per semester) in three to seven years.
Admissions
Admissions Requirements
All DrPH applicants must supply:
- Statement of purpose and objectives (personal statement)
- Two letters of recommendation
- Official transcripts from each college-level institution attended
The GRE is not required or considered for admission.