M.S. in Health Outcomes and Data Analytics

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

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 2024 Dates

7/30Application Deadline
9/3Classes Begin

Courses Include:

Medication Outcomes
PHP 559: Essential Methods of Pharmacoepidemiology
PHP 589: Essential Methods of Pharmacoeconomics
PHP 649: Applications of Medication Outcomes Evaluation
PHP 529: Introduction to Medication Outcomes
Data Science
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
Capstone Requirement
PHP 675: Health Outcomes and Data Analytics Capstone
At least 1 course from the following:
MHM 501: Healthcare in AmericaMHM 507: Healthcare Quality ScienceNRS 570: Geospatial Data Acquisition and Management
MHM 504: Economics of Healthcare ManagementMHM 508: Data Analytics for Healthcare ManagementEDC 589: Foundations of Adult Learning and Development
MHM 505: Healthcare Information Systems ManagementLSC 508: Introduction to Information Science and Technology LECPHY 571: Math Methods for Quantum Computing
MHM 506: Healthcare Operations and Process ImprovementPSC 508: Policy and Grant WritingPHY 572: Quantum Foundations

Interested in learning more?

Attend one of our upcoming virtual info-sessions to discover why URI Online is the right choice for you.

REGISTER TODAY

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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.


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