Online Data Science: Policy, Governance & Society

Brown’s online Master's in Data Science: Governance, Policy & Society explores how we can design and execute policies to govern data and AI responsibly.

Program Overview

The acceleration of artificial intelligence, machine learning, and advanced analytics is rapidly reshaping industries and societies across the globe. With this immense potential for transformation comes the need to develop robust governance frameworks that ensure data and AI systems are deployed responsibly, ethically, and legally. Brown’s online Master’s in Data Science: Policy, Governance & Society program prepares you to be a leader and steward of your organization's data assets and analytics capabilities.

This fully online version brings a world-class education to a globally diverse student body while maintaining the same academic rigor and excellence of an Ivy League University. A flexible format delivered asynchronously gives working professionals global access to graduate education from one of the country’s leading universities.

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DSIO Curriculum

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DSIO Capstone

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DSIO Student Handbook

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DSIO Contacts

What You Can Expect to Learn as a DSIO Student

Designed for professionals across industries, this program is intended equally for those with a deep technical background and those without. By the end of this program students will achieve the following outcomes:

Technical Skills

Build skills in data science methods like machine learning, big data, and data visualization to work with large datasets
Effectively communicate complex data science solutions to both technical and non-technical audiences
Apply quantitative policy analysis techniques to fully understand policy issues

Non-Technical Skills

Explore the ethical and societal impacts of artificial intelligence (AI) and its relationship to other disciplines and technologies
Draw upon theories and methodologies from various disciplines to address AI's ethical challenges
Critically evaluate current governance approaches for AI technologies
Develop new insights into AI governance

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