Social Policy + Data Analytics, MSSP

The Master of Science in Social Policy + Data Analytics for Social Policy Certificate (MSSP+DA) is a two 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.

Curriculum

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

Core Courses
MSSP 6070Practical Programming for Data Science1
MSSP 6080Practical Machine Learning Methods1
MSSP 6280Policy: Analysis of Issues, Strategy and Process1
MSSP 6290Research and Evaluation Design1
MSSP 6310Law and Social Policy1
MSSP 6340MSSP+DA Capstone I: Telling Stories with Data0.5
MSSP 6350MSSP+DA Capstone II: Policy Internship in Data Analytics0.5
MSSP 6680Economics for Social Policy1
MSSP 7100Democratizing Data? Critical Data Studies in Algorithmic Governance1
MSSP 7300Community Mapping1
MSSP 8970Applied Linear Modeling1
Electives
Select 2 SP2 Electives2
Total Course Units12

Social Policy Internships

The MSSP+DA provides students with competitive and cutting-edge opportunities for policy internships 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 internship is incorporated into the MSSP+DA Capstone Seminar. The Data Analytics policy internship must consist of a minimum commitment of 150 hours.


The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2024 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.