Data Analytics for Public Policy, CAS

Contact:

Stephanie Worden
Assistant Director, Admission and Financial Aid
Department of Public Administration and International Affairs
215 Eggers Hall
315-443-4000
paia@syr.edu

Core Faculty: Faculty in Public Administration and International Affairs

Program Description: The 12-credit, graduate-level Certificate of Advanced Study (CAS) in Data Analytics for Public Policy is an educational program that provides students the opportunity to develop advanced skills in managing and analyzing large amounts of data and employing policy analysis frameworks to inform public sector decision-making.

The program also provides students familiarity with the policy and governance issues raised by the use of new forms of data. To earn this certificate, students complete a required 3-credit course in the Data Driven Decision Making, and 9 additional credits of graduate coursework selected from a list of accepted courses. At least 9-credit hours of work must be completed in courses with a PAI prefix.

Students already in a graduate program can earn this Certificate concurrently with their master’s or doctoral degree. The Certificate may also be completed as an independent graduate program.

Admissions Information: Admission requirements are identical to requirements for the Syracuse University MPA Program.

Student Learning Outcomes

1. Assess ways data generated by emerging technologies can inform organizational decision-making and public sector challenges

2. Understand how to access and manage data generated by emerging technologies

3. Master and apply analytic frameworks and methods relevant for addressing public sector challenges

4. Understand public policy issues raised by expanding use of big data and algorithmic decision making as well as options for addressing these issues

Requirements

To earn this certificate, students complete a required 3-credit course in the Data Driven Management in Public Organizations, and 9 additional credits of graduate coursework selected from a list of accepted courses.

*At least 9 credit hours of work must be completed in courses with a PAI prefix.

Required Course:
PAI 724 - Data Driven Decision Making 3 credit(s)
Choose three Elective Courses from among the following:
GEO 683 - Geographic Information Systems 3-4 credit(s)
GEO 684 - GIS for Urban Environments 3 credit(s)
GEO 686 - Quantitative Geographic Analysis 3 credit(s)
IST 664 - Natural Language Processing 3 credit(s)
IST 718 - Big Data Analytics 3 credit(s)
IST 719 - Information Visualization 3 credit(s)
IST 736 - Text Mining 3 credit(s)
PAI 774 - Public Policy and Program Evaluation 3 credit(s)
PAI 789 - Advanced Policy Analysis 3 credit(s)
PAI 793 - Predictive Analytics 3 credit(s)