Master of Science in Data Science: Policy, Governance & Society
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 students to be leaders and stewards of their organization's data assets and analytics capabilities.
This fully online program 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.
The curriculum for the online ScM in Data Science consists of eight required courses.
For more information about the online Master's Program curriculum and when courses are offered, please visit the department website or Courses@Brown.
DSIO 2000 | Technical Foundation for Data Science Success | 1 |
DSIO 2100 | Basic AI & Policy Ethics | 1 |
DSIO 2110 | Evidence-Driven Policy Making | 1 |
DSIO 2010 | Data Engineering in Disguise | 1 |
DSIO 2020 | Machine Learning/DL/LLM | 1 |
DSIO 2120 | Fairness & Bias | 1 |
DSIO 2130 | Advanced Topics of AI Governance | 1 |
DSIO 2030 | Applied Learning Experience | 1 |