Computational Social Science, Graduate Certificate

The certificate highlights how big data, computational analysis, and related techniques can be used to shed light on theoretical and policy questions in the fields of public policy, public health, sociology, criminal justice, political science, economics, computer science, and network science. The certificate will contribute to students’ understanding of:

  • How to collect, analyze, and interpret insights culled from applying computational analyses to big data in social science domains
  • The ways in which computational analysis can be used to develop policy and evaluate policy outcomes and results
     

The field is new and developing rapidly, and employers are eager to hire students trained in this area—both because computational social science is at the cutting edge of interdisciplinary work and because it offers new opportunities for research and analysis. This certificate leverages the real-world relevance of big data, source data, machine learning, and predictive analytics, which are dominant aspects of the contemporary workplace landscape. The certificate is available on the Boston campus and online modalities.

Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

INSH 5301Introduction to Computational Statistics4
or INSH 6406 Analyzing Complex Digitized Data
INSH 5303Machine Learning in the Social Sciences4
or DA 5030 Introduction to Data Mining/Machine Learning

 Elective

Complete 4 SH from the following:4
Information Design and Visual Analytics
Social Networks
Geographic Information Systems for Urban and Regional Policy
Big Data for Cities

Program Credit/GPA Requirements

12 total semester hours required
Minimum 3.000 GPA required