Social Data Analytics

理工类, 计算机与信息技术
美国, 北美
硕士
访问项目链接

专业介绍

Brown University’s one-year, on-campus master’s in social data analytics prepares students with advanced skills in data collection and analysis, crucial for careers in market research, policy and beyond.

In today’s data-driven world, mastering the ability to analyze large-scale data on human behavior and interactions opens doors to diverse careers in market research, policy, social sciences and financial analysis. Brown’s master’s in social data analytics offers tailored training, making it an ideal choice for early-career students with a background in statistics and social science to excel in these thriving fields.

This program offers the following degree: 

  • Master of science (Sc.M.): Coursework and an optional intensive research internship

The Qualitative Analysis track consists of a range of courses focused on the collection and analysis of textual data that come from a wide range of sources including in-depth interviews, focus groups, extended observation of individual and group interactions, and social media. The Spatial Analysis track is focused on the use of specialized software applications for describing, displaying, and analyzing spatial data. The track also includes courses in the application of advanced statistical modeling techniques for identifying patterns and relationships in spatial data and for analyzing multilevel data with a spatial component. The Demographic Analysis track provides training in the collection and analysis of sample survey data, and methods for analyzing population and large data bases for assessing and projecting consumer behavior and demand. It also includes course work in advanced statistical methods for analyzing cross-sectional and longitudinal data with applications to individual and household behavior.

Distinguished by rigorous training in quantitative and qualitative methods of data collection and analysis, the program’s curriculum emphasizes spatial analysis, market research and advanced multivariate methods for population analysis and behavioral modeling. Taught by internationally renowned researchers, you’ll benefit from personalized supervision for data analytic research on faculty projects or with external organizations — providing firsthand experience applying these techniques to real-world data in the social sciences.

相关专业推荐