Data Analytics in Public Affairs Certificate Program | UCLA Extension

Data Analytics in Public Affairs Certificate Program | UCLA Extension
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Summer Enrollment Opens on April 27, 2026.
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Data Analytics in Public Affairs
Data Analytics in Public Affairs
Learn how to analyze, visualize and communicate data insights to internal and external stakeholders to assist in public policy decision-making.
Courses
4 Required
Methods
Online
F-1 Visa Eligible
No
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This program is perfect for...
Policy advisors and urban planners who need to leverage big data to drive governance and community development initiatives
Public affairs professionals looking to enhance their understanding of data and their ability to share it in meaningful ways
Public Administrators who want to better bridge the gap between data analytics teams and executive leadership
Data analysts and programmers seeking to transition into policy roles
What you can learn.
Gain an overview of advanced technologies and their relevance to 21st century governance and community development
Examine the ethical implications in using big data and data analytics for governance and community development projects
Craft persuasive narratives, develop compelling presentations, and leverage storytelling techniques to engage and inspire audiences
Learn how to load, clean, analyze and visualize policy relevant datasets using Python, the world’s most popular programming language
Use spatial data analysis—examining locations, attributes, and relationships—to address a question or gain knowledge
Data-Driven Decision Making
The Data Analytics in Public Affairs Certificate program, created in partnership with
UCLA's Luskin School of Public Affairs
, is designed for professionals working in public policy, planning, and social services arenas who want to gain a deeper understanding of how big data and digital technologies can be used to offer public services in more just and efficient ways. As companies around the world collect more and more data, they in turn expect their staff to understand, analyze and visually present these figures in meaningful contexts. Students who complete the program will possess the knowledge and skills needed to meet industry needs. No data analytics experience is necessary to start this program.
Courses are taught by instructors with extensive teaching and research backgrounds and direct data policy experience.
Format:
Online
Duration:
6 months (full-time), 1 year (part-time)
Upcoming Information Session
Join us for an upcoming information session where you can learn more about the program!
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Cost and Fees
All courses in this program are paid for individually, unless otherwise noted. An application form is required to establish candidacy in this program. From the 'Apply Now' button, complete the online application and pay the application fee if applicable.
Application and Candidacy Fee
$200
Estimated Textbooks and Materials
N/A
Estimated Program Tuition
$12000
Apply Now
Payment Options
Not eligible for VA Benefit
Federal Financial Aid is not available
Required Courses
Customize your experience
PUB AFF X 401
Artificial Intelligence and Advanced Technologies in Public Affairs
Learn advanced technologies important to governance and community development. Gain an understanding of AI, blockchain, autonomous vehicles, drones, VR/AR, 5G technology, and cybersecurity technologies necessary to protect against hacking.
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PUB AFF X 402
Ethics, AI, and the Data Society
Examine ethical issues related to big data/analytics in governance and community development. Topics include balancing public good/privacy, preventing misuse, predictive policing, addressing AI’s role in systemic bias & ensuring equitable outcomes.
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PUB AFF X 403
Data Visualization
Explore the strategies and techniques for driving the adoption and utilization of data visualizations. Learn how to craft persuasive narratives, engage stakeholders, and build trust with tailored visualizations.
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Data Science Requirement
Students must take one of the following courses.
PUB AFF X 404
Introduction to Programming and Data Science
An introduction to data analysis and programming using Python, students will learn how to load, clean, and manipulate spreadsheets along with foundational Python programming concepts.
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PUB AFF X 405
GIS and Spatial Data Science
Understand the foundations of spatial data science using Python. Examine the components of data’s journey—acquisition, exploration, modeling, and communication through visualization—to advance policy analysis.
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