Computational Social Science Graduate Certificate
Further your career with the emerging discipline of computational social science.
By earning Stevens' computational social science graduate certificate, students will learn the tools required to meet the evolving requirements of employers related to the collection, analysis, and critique of data with applications to society. Students will demonstrate basic data cleaning, visualization, and analysis skills through the use of statistical, computational, and social science methods.
Required Courses
EM 624 – Informatics for Engineering Management
EM 622 – Data Visualizations for Decision-making
HSS/EM 570 – Data-Driven Storytelling
HSS 517 – Quantitative Social Science* (New class!)
Program Objectives
Understand the unique challenges that social data present in relation to societal issues
Develop data visualizations that can be used by policy-makers, journalists, academics, and industry professionals for decision-making
Identify, define, collect, analyze, and communicate relevant data related to computational social science
Gain the ability to collect, use, and analyze large-scale data and generate informatics
Develop basic knowledge of tools, such as Python, for computational social science applications
Learn More
The computational social science graduate certificate was built through a partnership between Stevens' School of Humanities, Arts and Social Sciences and Department of Systems & Enterprises. Be sure to learn more about Stevens' graduate programs, all of which teach students critical skills in science and technology while connecting them with leading industry professionals.