Overview
The M.S. in Health Outcomes and Data Analytics program combines the Data Science Graduate Certificate and Medication Outcomes Graduate Certificate to provide professionals with the knowledge to make data-driven decisions and gain insights to improve patients’ lives.
In order to learn how to successfully analyze complex data to determine the outcomes of pharmaceutical and healthcare interventions, the program draws upon the fields of:
- Epidemiology
- Computer science
- Ethics
- Mathematics
- Pharmacy
- Quality improvement
- Statistics
Through this program, professionals will obtain the skills to understand the development of methods to collect, record, store, analyze, and interpret data effectively and extract useful information aimed at detecting patterns, trends, and relationships that inform healthcare decision-making
Courses
Admissions
- Bachelor’s degree
- GPA of 3.0 or higher*
- Resume/CV
- Personal statement
- Relevant work experience
*Applicants with a GPA lower than 3.0 may be considered for provisional admission — please contact online@uri.edu before applying to discuss the GPA requirement.
Fall 2025 Dates
Discover URI Online
Gain an understanding of the high quality of URI Online curriculum and the many benefits of learning online while balancing work, school and family.
Career Opportunities
Advance your career with URI Online.
According to the U.S. Bureau of Labor Statistics, both data scientists and medical/health services managers are among the top 30 fastest growing occupations between 2020 and 2030. There is an increasing amount of opportunities at the intersection of health and data across the country. Some of these positions include:
Medical and Health Services Manager
Oversees the planning, coordination, and implementation of healthcare services, including managing personnel, budgets, and ensuring compliance with regulatory standards to optimize overall function of facilities.
Operations Research Analyst
Utilizes mathematical modeling and analytical techniques to identify and solve complex problems, optimize processes, and improve decision-making in various organizational areas such as logistics and resource allocation.
Data
Scientist
Analyzes complex data sets using statistical and machine learning techniques, extracts valuable insights, and develops predictive models to inform decision-making and drive business strategies across diverse domain.
