Overview
Become a leader in your field by understanding and applying the tools and skills needed to solve complex, real-world problems using data. The online Master of Science in Data Science program at URI integrates both theory and practice.
Graduates will be prepared to collaborate on interdisciplinary projects using skills such as:
- Machine learning
- Data visualization and analytics
- Artificial intelligence
Courses
MHM 501: Healthcare in America
MHM 502: Leadership in Healthcare Management
MHM 503: Financial Management of Healthcare Organizations
MHM 504: Economics of Healthcare Management
MHM 505: Healthcare Information Systems Management
MHM 506: Healthcare Operations & Process Improvement
MHM 507: Healthcare Quality Science
MHM 508: Data Analytics for Healthcare Management
MHM 509: Law and Ethics for Healthcare Management
MHM 510: Strategic Marketing for Healthcare Management
MHM 515: Practicum for Healthcare Management Professionals
Tuition per credit based on 2023/2024 academic year rates (subject to change): $887
Admissions
- Submission of transcripts
- Prior coursework or demonstrated experience in:
- R and Python Programming
- Calculus
- Linear Algebra
- Introductory Statistics
OR
- Successful completion of URI Data Science Graduate Certificate and interview with Program Director
- Two letters of recommendation
- Resume/CV
- Personal essay (300-500 words) discussing:
- Interest in the data science field
- Relevant work experience
- Reasons for applying to the online program at URI
- Professional goals, as well as plans for achieving these goals
NO GRE REQUIRED
Fall 2024 Dates
Interested in learning more?
Attend one of our upcoming virtual info-sessions to discover why URI Online is the right choice for you.
Career Opportunities
Advance your career with URI Online.
A Master of Science in Data Science opens doors to a range of career opportunities in the rapidly growing field of data analysis and machine learning. With industries across sectors increasingly relying on data-driven decision-making, professionals with an MS in Data Science are in high demand and can secure rewarding positions in technology companies, financial institutions, healthcare organizations, and beyond.
Data Scientist
Analyzes large datasets to extract insights and drive decision-making processes within organizations and solve complex problems.
Data Analyst
Interprets data to provide insights for business strategy, marketing campaigns, product development, and operational improvements.
Machine Learning Engineer
Develops and deploys machine learning models to automate processes, improve prediction accuracy, and optimize decision-making systems.
