Overview
URI Online’s Graduate Certificate in Data Science provides the unique experience needed to build proficiency in large scale datasets, data programming, data visualization, and data communication.
This gateway certificate is ideal for working professionals, recent graduates looking to enter the field, and those seeking career advancement in data science across a variety of industries including:
- Healthcare
- Marketing
- Finance
- Government
Courses
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
Tuition per credit based on 2024/2025 academic year rates (subject to change): $887
Admissions
- Bachelor’s degree
- College transcripts
- Two letters of recommendation
- Resume/CV
- Personal statement (300-500 words) discussing:
- How are you utilizing data in your current profession and what do you want to achieve by obtaining the Graduate Certificate in Data Science at URI?
- Define any gaps you aim to fill in your education and/or profession with this certificate.
- How do you see this certificate helping you meet your future professional and/or educational goals?
- Which course are you most looking forward to taking and why?
Technology Requirements
- Linux (Ubuntu 16 or comparable)
- MacOS (10.10 or higher), or Windows (10 home or higher)
- 8GB RAM
- Broadband internet connection
- Web browser (Safari, Firefox, or Chrome)
- At least 2GB free disk space
Summer 2025 Dates
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Gain an understanding of the high quality of URI Online curriculum and the many benefits of learning online while balancing work, school and family.
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Career Opportunities
Advance your career with URI Online.
URI Online’s Data Science Graduate Certificate offers abundant career opportunities across industries hungry for data-driven insights. With the growing demand for data professionals in today’s digital landscape, individuals with this certificate are well-equipped to excel in diverse and lucrative career paths.
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Data
Analyst
Collects, cleans, and analyzes large datasets to extract meaningful insights and inform business decisions.
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Business Intelligence Analyst
Transforms raw data into actionable intelligence by creating visual dashboards and reports for strategic planning.
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Data
Scientist
Utilizes statistical techniques and machine learning algorithms to uncover trends in data, providing valuable insights.
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