Credential Programs

The seven-week virtual program connects learners around the globe.

Data is everywhere and analytical skills are in high demand by public and private institutions around the world.

Over seven weeks, connect with policy professionals and gain the skills to gather, clean, analyze, and report on data through a public policy lens.

Learn to use a scientific approach to address today's social issues and create a measurable impact on society.

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Overview

Subject: Data Analytics, R Programming, Public Policy, Policy Research

Level: Beginner, intermediate 

Duration: 7 weeks, 10-15 hours per week

Dates: 

  • Session One: June 13 - July 31, 2022
     
  • Session Two: July 25 - September 10, 2022

Cost: $4,500

Format: 100% virtual 

Features:  

  • Asynchronous lectures: Ideal for working professionals and students around the world, watch lectures and learn at your own pace.
     
  • Live support: Join live virtual office hours with faculty and teaching assistants and ask questions in discussion boards.
     
  • Applied learning: Use your skills to conduct a research project alongside UChicago faculty.
     
  • Enhanced network: Connect with peers through live co-curricular seminars, workshops, and networking opportunities.
     
  • UChicago resources: Gain insights about career development, graduate programs, and more.
     
  • No experience required: Develop your data analytics skills alongside other students and working professionals.
     

Who Will Benefit

This program is a fit if you are:

  • Interested in data analytics and coding
     
  • Interested in public policy, public affairs, or administration
     
  • Considering a graduate degree or professional path in data science, analytics, or public policy
     
  • Seeking a robust foundation in quantitative methodologies
     
  • Seeking experience in econometrics, statistics or coding

Request more information to see if the program is a good fit for you.

What You Will Learn

  • How to retrieve, clean, visualize, and analyze data
     
  • How to write and share code in R Programming
     
  • Understand the fundamental problem of causal inference
     
  • How to use statistical modeling to navigate around the causal inference issue
     
  • How to apply analytical skills in real-world capstone research project
     
  • Diverse academic and professional paths in public policy

Join our next webinar to explore the DPSS program further.

Program Details

Questions? Meet our team and contact us directly.

Headshot of Zhaopeng 'Cecilia' Cai
Zhaopeng 'Cecilia' Cai

"I chose DPSS because it's a great opportunity for me to explore how data analytical skills can be applied to real life public policy problem-solving."

Zhaopeng (Cecilia) Cai, DPSS'19 | BS in Data Science, New York University Shanghai