Social Policy + Data Analytics, MSSP

The Master of Science in Social Policy + Data Analytics for Social Policy Certificate (MSSP+DA) is a 1.5 year, 12 course unit program. MSSP+DA is a STEM-designated degree that empowers students to leverage social policy and data analytics to address economic, educational, and health inequities. Throughout the program, the data analytics material is taught in relationship with the various theories, approaches, and domains of social policy analysis.

You will learn to use data to help solve disparities of race, ethnicity, gender, and class across systems such as immigration, child welfare, and education. The MSSP+DA curriculum provides students with core policy courses and training and skills in the conceptual foundations of data analytics, programming of data structures, the applications of machine learning and predictive analytics, spatial analytics, and data processing techniques for web scraping and data visualization for a broader public audience. Students will learn programming languages such as SAS, R, Java, Python, GIS, and ArcGIS for the processing, cleaning, and analyzing of digital data for social policy. The program provides cutting-edge training for in-demand professionals working in the data analytics for social policy field.

For more information: https://www.sp2.upenn.edu/program/master-of-science-in-social-policy-data-analytics-for-social-policy-certificate/

The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2026 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.

Curriculum 

A total of 12 course units plus an practicum are required for graduation.

Policy Practicum in Data Analytics

The MSSP+DA provides students with competitive and cutting-edge opportunities for policy practicums in data analytics that emphasize competency development in both policy analysis and data analytics. These parallel competencies position graduates to work in the fast-growing and developing world of data analytics for social policy. Credit for the practicum is incorporated into the MSSP+DA Capstone Seminar. The Data Analytics policy practicum requires a minimum commitment of 150 hours.

Social Policy + Data Analytics, MSSP+DA

Sample Plan of Study

The Master of Science in Social Policy + Data Analytics for Social Policy Certificate (MSSP+DA) is available as an on-campus, full-time program. While students may customize their schedules due to enrollment in an international course or study abroad experience, the grid below outlines the standard schedule and course of study for full-time students.