The data science master's program provides a comprehensive education in the methods and algorithms of data science, through a study of relevant topics in mathematics, statistics and computer science.
The Data Science Initiative at Brown offers a master's program that prepares students from a wide range of disciplinary backgrounds for distinctive careers in data science.
Extracting meaning and value from increasingly complex and voluminous data requires a distinctive set of skills, methods and tools that together form the emerging discipline of data science. Data science integrates foundational elements from computer science, mathematics and statistics, and combines them meaningfully with deep domain-area knowledge.
Brown's data science master's program educates students in the methods and algorithms of data science, through a study of relevant topics in mathematics, statistics and computer science, including machine learning, data mining, security and privacy, visualization, and data management. The program also provides experience in important, frontline data science problems in a variety of fields and introduces students to ethical and societal considerations surrounding data science and its applications.
The program's course structure ensures that the students meet the goals of acquiring and integrating foundational knowledge of data science, applying this understanding to specific problems, and appreciating the broader ramifications of data-driven approaches to human activity. An experiential learning component offers students the opportunity to apply their skills to real-world data science problems. Students can fulfill this requirement through an industry internship or work with faculty at Brown or elsewhere.
