Explore Data Sciences for Social Impact
The Jack, Joseph and Morton Mandel School of Applied Social Sciences and the , two of ÐÇ¿Õ´«Ã½'s top schools, have developed a Certificate in Data Sciences for Social Impact (0551).
The Certificate
- Is intended to prepare students to navigate and influence this new era of technology and data-driven solutions in social welfare and policy, ensuring proper ethical guidelines are developed and followed
- Intersects social science, social work and data science in an increasingly critical field, bringing a diverse group of people to the table in order to shape the way technology is used to advance social justice
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The Certificate in Data Sciences for Social Impact is a program available to students in the on-campus MSW and intensive weekend MSW programs.
Current students in the MSW on-campus program and the MSW intensive weekend program, please complete the Notice of Intent to Pursue the Data Sciences for Social Impact and email a copy of form to Francisca Garcia-Cobian Richter or Richard Sigg at the Mandel School, or Roger French or Laura Bruckmand at the Engineering School.
Admission Requirements
The Certificate in Data Sciences for Social Impact is geared towards degree-seeking students in graduate programs at ÐÇ¿Õ´«Ã½ and non-degree students from other social science degree programs in other institutions.
A total of 12 credit hours is required to earn the certificate; it can be completed on campus in 1 year.
Specific Learning Objectives
- Develop data science and analytical skills to inform decision-making in social work, social policy and non-profit organizations, integrating the knowledge of communities represented in the data, and addressing societal biases reflected in it
- Develop skills to structure and analyze administrative data and other available or unstructured data sources
- Develop the ability to produce visualizations from the data that supports data discovery and communication of findings to diverse stakeholders
- Develop leadership skills to critically inform the ethical use of social algorithms and the analysis of social data in general
- Develop fluency in methods of reproducible research, including RMarkdown, LaTeX and Git
Integrated and Focused Curriculum
The DSSI Certificate will be issued upon successful completion of four courses for 12 credit hours. Two of the courses are Mandel School SASS classes and two are DSCI offerings in the School of Engineering.
- SASS 471: Introduction to Data Science for Social Impact – 3 credits, Fall Year 2
- DSCI 451: Exploratory Data Science – 3 credits, Fall Year 2
- DSCI 453: Modeling and Prediction – 3 credits, Spring Year 2
- SASS 472: Semester Research Project in Data Science for Social Impact – 3 credits, Spring Year 2
Note: Year 2 refers to the second year of the MSW program.
If desired, students can enroll in SASS 471 Introduction to Data Science for Social Impact as an elective independently of their desire to complete the full certificate. All classes are offered in person and in remote synchronous modalities.
Prerequisites
The DSSI curriculum is open to all students enrolled in a graduate program at ÐÇ¿Õ´«Ã½ who have taken an introductory statistics class. Students must earn a minimum GPA of 3.00 for the DSSI Certificate to be awarded. This is not a transcriptable certificate.
Career Outcomes
Obtaining the Certificate in Data Sciences for Social Impact can lead to careers in:
- Consulting
- Foundations
- Journalism
- Local Government
- Nonprofits
- PhD Compliment
- Social Service Agencies
- Think Tanks
- Urban Planning and Development
Contact
For more information, please contact Francisca GarcÃa-Cobián Richter or Richard Sigg at the Mandel School, or or at the Engineering School.