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
DSP 555: Multivariate Statistical Learning for Data Science
DSP556: Machine Learning for Data Science
DSP562: Data Analytics & Visualization
DSP563: Applied Mathematics in Data Science
DSP565: Computational Statistics
DSP566: Advanced Topics in Machine Learning
DSP567: Database Concepts, Cloud Computing, and Big Data
DSP568: Data Science for Business
DSP569: Applications of Data Science in Biological Science
DSP577: Interdisciplinary Data Enabled Research/Capstone
Tuition per credit based on 2024/2025 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
Spring 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.
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.
