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
PHP 529: Introduction to Medication Outcomes
PHP 559: Essential Methods of Pharmacoepidimeiology
PHP 589: Essential Methods of Pharmacoeconomics
PHP 649: Applications of Medication Outcomes Evaluation
DSP 552: Computer-based Data Exploration
DSP 553: Mathematical Methods for Data Science
DSP 555: Multivariate Statistical Learning for Data Science
DSP 556: Machine Learning for Data Science
PHP 675: Health Outcomes and Data Analytics Capstone
The purpose of the capstone course is to apply theoretical knowledge and data analytical skills to address a Health or Medication Outcomes project by extending and demonstrating data analytic competencies gained in prior coursework. Each week introduces new data analysis steps and visualization tasks, successively building to a finalized project to be presented to classmates. After selecting a data source for the project, students will propose and conduct the study, including defining relevant aims, devising and applying suitable methodologies, developing effective data visualizations to present results, and discussing results and implications.
And at least 1 course from the following:
MHM 501: Healthcare in America
MHM 504: Economics of Healthcare Management
MHM 505: Healthcare Information Systems Management
MHM 506: Healthcare Operations and Process Improvement
MHM 507: Healthcare Quality Science
MHM 508: Data Analytics for Healthcare Management
LSC 508: Introduction to Information Science and Technology LEC
PSC 508: Policy and Grant Writing
NRS 570: Geospatial Data Acquisition and Management
EDC 589: Foundations of Adult Learning and Development
PHY 571: Math Methods for Quantum Computing
PHY 572: Quantum Foundations
Admissions
- Bachelor’s degree
- GPA of 3.0 or higher*
- Resume/CV
- Personal statement
- Relevant work experience
- NO GRE/GMAT REQUIRED
*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
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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.
