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HOME > ACADEMICS > CREDENTIAL PROGRAMS > DATA AND POLICY SUMMER SCHOLAR PROGRAM

Data and Policy Summer Scholar Program

Gain rigorous data analytical skills with a unique focus on policy impact and specialized track for academic or professional growth in 7 weeks.
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× Notification: Credential program applications are open: Enhance your portfolio & strengthen your skills! Application deadline is May 20, 2025.
  • Overview
  • Curriculum
  • Academic & Professional Benefits
  • Faculty
  • Student Experience
  • Program Fee & Payment
  • Admissions
  • Frequently Asked Questions
Start your application

Overview

Data is everywhere and analytical skills are in high demand by public and private institutions around the world. Over seven weeks, you will gain the skills to retrieve, analyze, and present 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.

Features

  • Asynchronous lectures: Ideal for working professionals and students around the world, watch structured mini lectures and learn at your own pace.
  • Live teaching sessions and support: Join live virtual teaching sessions with faculty and teaching assistants and ask questions in discussion boards.
  • Applied learning: Engage in research or data visualization projects alongside UChicago faculty and have deliverables ready to showcase your skills. 
  • Specialized track design: Focus on building your academic research skills or applied data analytics and storytelling skills with numerous professional development resources and networking opportunities.
  • Beginner friendly: Learners across all backgrounds and levels are welcome.
Subjects

Data Analytics, R Programming, Public Policy, Policy Research

Level

All levels welcome

Duration

Seven (7) weeks, 10-15 hours per week

Dates

June 30 - August 15, 2025

Cost

$4,500 with partial scholarship available

Format

Virtual Online

Austin-Wright-1
Austin Wright

Associate Professor at the Harris School of Public Policy

Read full bio

“The DPSS program was a critical first step. Being out of an academic environment for almost a decade, I wanted to prepare for this rigorous curriculum. While DPSS was challenging, I had an extremely supportive community of classmates, TAs, and professors. DPSS was the tipping point that made Harris my number one choice.”

Charles-Huang

Charles Huang

DPSS’22, MPP Class of 2025

“It’s a summer I won’t forget. The quantity and quality of learning kept me engaged, and the other scholars were such a joy to work with. There were people from all walks of life, which was very reflective of the real world. I was among the youngest, so I was mindful of that as I went through it. But after each session, I felt more and more confident and encouraged to engage with my classmates, faculty, and staff.”

Shreeya

Shreeya Misra

DPSS’22

“In the short-term, I wanted to apply the quantitative skills I gained from DPSS to better analyze cyber conflict in the context of the Department of Defense Cyber Strategy of Defending Forward. Long-term, I hoped my exposure to policy practitioners and UChicago faculty would prepare me for graduate study.”

Jose

Jose Macias

DPSS’21, MPP Class of 2024

Curriculum

DPSS equips you with training in data analytics paired with hands-on policy research experience and professional development resources. The program includes three required modules: (1) Data Analytics in Public Policy; (2) Introduction to R Programming; and (3) an immersive Capstone Research Project.  

Depending on your primary learning goal, participants can opt for one of the two tracks - the academic track and the professional track. Both tracks provide core foundational courses accompanied by a diverse array of customized resources, ensuring you are ready for your next steps - whether it be getting ready for top-notch graduate programs or preparing for a career pivot. 

Module 1: Data Analytics in Public Policy

This course provides an introduction to the statistical foundations, tools, and methods employed by public policy researchers. Explore the fundamental problem of causal inference and learn how to use data, research design, and statistical modeling to navigate around this problem.

Module 2: Introduction to Programming in R

This is an introductory course in programming and data analysis for participants with no prior coding experience. It begins with foundational basics and progresses to advanced, practical data analytical and visualization skills in R. By the end of the course, you will be able to use R to retrieve, clean and analyze complicated datasets and produce tables, charts and other data visualization tools to convey your findings.

Read the Blog Post "How Data Can be Used to Tell Stories About Policy" by Victor Hinardi, DPSS'20, MPP Class of 2023

Read the Blog Post “What can I do with R” by Anna Weiss, DPSS’21, MPP Class of 2024

Module 3: Capstone Project

In the capstone research project, you will collaborate with faculty and a group of peers to tackle a real-world issue with datasets, devising solutions and creating deliverables that can enhance your portfolio online.  

Academic track participants will harness the skills of research design, policy analysis, and team collaboration to conduct a research project using open-source or faculty-provided datasets. Participants will individually write a research note, showcasing their academic readiness for graduate programs or research jobs.  

Professional track participants will dive into real-world datasets with practical analysis and a focus on data visualization. They will produce a deliverable with data visualization (charts, infographics) to showcase their results.

Read Professor Wright's blog post about the capstone project.

Academic Track Requirement and Resources

The academic track provides a comprehensive toolkit for participants who are interested in further advancing their academic growth by earning a master or PhD-level degree in the social sciences field. Participants undertaking this track are required to complete advanced statistics and programming learning such as panel data designs, regression discontinuity, instrument variables etc. of the Data Analytics and Programming in R courses, fostering a comprehensive understanding of advanced content. In addition, as part of the Module 3 Capstone Project, participants will individually write a research note that can be used as a writing sample for their graduate degree application. Participants will also join live workshops focusing on understanding the academic world and learn how to conduct public policy research to support their future academic journey.

Professional Track Requirement and Resources

The professional track prioritizes applied data analytical skills and techniques of data visualization and storytelling, allowing participants to maximize the application of data analysis in real-world professional settings. In this track, participants only need to complete a portion of the assignments of the Data Analytics and Programming in R courses (Module 1 & 2), providing greater flexibility in their time management. Participants will use the Capstone Project as an immersive learning experience to conduct data storytelling and data visualization practice, and produce a deliverable. In addition, participants will join live workshops focusing on understanding how data skills can be applied in various types of industry jobs, and explore useful resources.

Academic and Professional Resources for All

  • Orientation: You will meet your DPSS teaching and administrative team, learn the academic schedule and expectations, and participate in an activity to meet your peers. 
  • Research Essentials Series: Participants are encouraged to participate in the Research Essentials Series, led by Prof. Wright. This series adopts a hands-on, practical approach to navigating the components of policy research. Across these sessions, participants will cultivate a nuanced understanding of policy research methodologies, honing critical analysis skills for effective review of research papers. The sessions empower participants to acquire proficiency in scrutinizing and analyzing data, which fosters a comprehensive grasp of policy research and enhances their analytical capabilities. 
  • Career Workshops: The backgrounds and experiences of the DPSS cohort are diverse. We range from undergraduate students to PhD candidates and working professionals. The career workshops are your space to learn from experienced career coaches on personal branding, resume building, networking tips and more.
  • Writing Workshops: The courses in DPSS teach you how to analyze data and apply the evidence into policy. The writing workshops will dive into the methods to convey rich information in a persuasive and informative way. 
  • Community Chats: UChicago Community Chats are small-group networking opportunities to connect with members of the UChicago community including but not limited to current graduate students, degree and DPSS alums, Harris staff and more.
  • Graduate Admission Information Sessions: Ask questions of UChicago Harris Admissions. Learn more about our graduate degree programs, application tips and general advice on the graduate school process.

Sample Schedule


   Sun Mon Tue Wed Thu Fri Sat
Weeks 1 - 5 Break     Optional: Live Office Hours   Break Optional: Live Office Hours
Module 1: Data Analytics in Public Policy  Optional: Take Non-Graded Quizzes Module 1: Data Analytics in Public Policy   
Module  2:  Introduction to Programming in R    Module  2:  Introduction to Programming in R   
  Optional: Community Events Homework in Progress Optional: Community Events Finish Homework
   Sun Mon Tue Wed Thu Fri Sat
Weeks 6 - 7 Break Optional: Live Office Hours   Break Break
Module 3: Capstone Research Project
  Optional: Community Events
Sample-Syllabus

2025 DPSS Sample Syllabus

Download the Syllabus

Academic & Professional Benefits

DPSS alumni have achieved remarkable success in their pursuit of graduate programs and career development. They continue their academic pursuit in Master's and Ph.D. programs across various fields, including Data Science, Business, Economics, Law, Mathematics, Political Science, Public Policy, and Social Science. Discover how DPSS can empower you on your path to graduate study, including exciting opportunities right here at UChicago, by exploring our blog post, "DPSS Benefits for Graduate School.”

40
%

started or completed a graduate program after DPSS

180
+

enrolled in a graduate program at UChicago

155
+

enrolled in a graduate program at UChicago Harris School of Public Policy

DPSS alumni have made significant strides in their professional journeys, securing internships, part-time and full-time employment. They've attained diverse positions, including roles as Business Analytics Interns, Data Analyst Assistants, Congressional Interns, Development Coordinators, Financial Analysts, Management Consultants, Software Engineers, and Research Assistants.

Here are some example organizations: 

pwc
Unicef
World-Bank
fidelity
mckinsey
Snohomish-County
cps
iom
deloitte
invest-india
gm4md
aiib

Faculty and Teaching Team

 
Austin Wright

Austin Wright is the Associate Professor at the Harris School of Public Policy and Academic Director for the Data and Policy Summer Scholar Program, ensuring the holistic curriculum is designed and taught to meet student needs with the UChicago approach.

Austin-Wright

Faculty Profile

Austin Wright

"The goal with our credential programs is to find ways to enable a broader set of learners to have access to the UChicago tools and resources and help them achieve their ultimate goals of improving the world around us."

Read Austin Wright's Profile
lo_harris_photo

Faculty Profile

Sheng-Hao Lo

Sheng-Hao Lo is the Assistant Instructional Professor at the Harris School of Public Policy at the University of Chicago, where he teaches core courses in Statistics, Data Analytics and Microeconomics. He has a broad set of teaching and research interests in applied microeconomics and applied econometrics, with a focus on health policy. He is the Data Analytics Instructor and Academic Track Lead for the Data and Policy Summer Scholar Program.

Read Sheng-Hao Lo's Profile
Peizan Sheng

Instructor Profile

Peizan Sheng

Peizan Sheng is the Graduate Instructor and Programming in R Instructor for the Data and Policy Summer Scholar Program. He is currently a third-year PhD and Pearson Scholar at the University of Chicago Harris School of Public Policy. His research interest lies at the intersection of poverty measurement, poverty dynamics, and machine learning methods. 

JMacias-Web-1-1

Instructor Profile

Jose Macias

Jose Macias is the Graduate Instructor and Professional Track Lead for the Data and Policy Summer Scholar Program. He also works as an Associate Data Fellow in the Futures Lab within the International Security Program at the Center for Strategic and International Studies.

Read Jose Macias's Profile

Participant Experience

 

Icons_Yellow-Calendar
Program Dates and Time Commitment

June 30 - August 15, 2025

Participants expect to spend about 10-15 hours per week including watching lecture recordings, working on assignments and projects, joining interactive office hours and community activities.

Icons_Yellow-Website
Virtual Format with Maximum Flexibility

Asynchronous (pre-recorded) lectures from faculty, optional synchronous teaching sessions with faculty and graduate teaching assistants, and interactive community activities.

Icons_Yellow-Speech
Office Hours

These synchronous office hours, conducted in Zoom, are offered approximately 15 hours per week at various times to accommodate our global and working students.

Documenting Your DPSS Achievement

Certification of Program Completion

This certification is issued by the Harris School of Public Policy and contains a grade (of points earned) for each academic course. Students will receive an email from our office (harriscredential@uchicago.edu) with the electronic certification within one month after the program.

In-Person Chicago Weekend (Optional)

Interested in meeting your cohort in person? DPSS offers an optional Chicago Weekend where participants gather for three days of workshops, networking, and social activities.

DPSS-Chicago-1
DPSS-Chicago-4
DPSS-Chicago-2
DPSS-Chicago-3

Program Fee & Payment

The program fee is $4,500. We are pleased to offer merit-based partial scholarships to outstanding applicants.

Audience

Fee

General

$4,500

Merit-Based Scholarship Range

$300 to $1,000

Organizational Sponsorship for 3+ Applicants

Contact us at harriscredential@uchicago.edu to discuss group rates

If enrolling in two or more credential programs during the same cycle

Receive an additional 20% discount on the program fees (After the initial discounts and scholarships)

Once being admitted, participants will secure the seat by submitting a $1,000 USD enrollment deposit, which is non-refundable and applies toward your total program fee. The remaining program fee balance will be paid before the program starts. Detailed payment instructions will be provided to admitted participants via email.

Starting in April 2025, the application for admission to the Data and Policy Summer Scholar Program will include a supplemental essay prompt for applicants who wish to be considered for the Community Impact Scholarship. Essays will be evaluated by the Harris Credential Programs admissions committee. Applicants who are admitted and demonstrate eligibility for the Community Impact Scholarship will receive the award, which will be granted at the time of admission.

"Not only was Harris the best quantitative program that I researched, but after experiencing DPSS, it was the best place to resolve the coding gap I had in undergrad. I really appreciated that coding is built into the curriculum.” 

Olivia-Gunther

Olivia Gunther

DPSS’21 , MPP’23

"Transitioning from undergrad to master’s level was challenging when I made the jump a few years ago, and I didn’t want the same thing to happen at Harris. After completing DPSS, I felt much better prepared than when I’d enrolled at Penn State." 

Wroj

Wrojensky André

DPSS'20, AM Class of 2021

Admissions

Eligibility

  • Minimum age of 18.
  • One-year, full-time undergraduate study completed at least one month prior to the start of the program.
  • No prerequisites needed! DPSS is open to all academic backgrounds.

How to Apply

  • Start your online application today. You can start, save, close, and return to the application prior to submission.
    • Select “2025” - “2025 Cred” - “Non-Degree” - “Data and Policy Summer Scholar Program”.
  • Motivation statement (300-word limit) describing why you want to join the program and how it will benefit your future development.
  • Resume (1-2 pages recommended).
  • Unofficial Academic Transcripts -
    • Must include your full name and institution/university name. Transcripts must include the course names, dates (term and year), grades and grading scales for each year of post-secondary education (college or university).
    • Provide a transcript for each degree conferred (undergraduate and graduate).
    • Unofficial transcripts are accepted. Please upload a PDF copy.
    • English translation must be submitted for all foreign language transcripts.
  • English language proficiency proof for some international applicants.
    See detailed requirements.

Application Deadline

 

Application Deadline

Notification

Reply Deadline

Early Action

November 12, 2024

Late November

December 9, 2024

Round 1

January 14, 2025

Late January

February 10, 2025

Round 2

February 11, 2025

Late February

March 10, 2025

*Special Round

March 25, 2025

Early April

April 21, 2025

Round 3

April 22, 2025

Early May

May 19, 2025

Round 4

May 20, 2025

Late May

June 9, 2025

*Applicants who submit their application between February 11 and March 25 (Special Round deadline) will receive a guaranteed $600 Harris scholarship. This scholarship is granted in addition to any other discounts or scholarships they may receive. Applicants who have submitted their application before February 11 will receive an additional $600 Harris scholarship if they submit the enrollment deposit by March 25, deposit deadline.

Refund and Cancellation Policy

If the participant decides to cancel their Program enrollment, the participant must submit a request in writing at least 30 days prior to the program start date to harriscredential@uchicago.edu to receive the paid amount less the non-refundable enrollment deposit. Requests received 14 to 30 days before the Program start date are subject to a payment of 50% of the Program fee. Requests received within 14 days of the Program start date are subject to full payment of the Program fee. If the participant is unable to join the Program due to circumstances that the participant has no control or influence over, the refund amount will be considered on an individual case-by-case basis. 

Frequently Asked Questions

Explore the DPSS FAQ section for quick answers to common program inquiries. Find valuable information about admissions, scholarships, program fees, and more, ensuring a smooth and informed DPSS experience.

Is it possible to complete the DPSS program while juggling a full-time job, internship, or academic courses?

Absolutely! DPSS is designed to accommodate individuals from diverse academic and professional backgrounds, including working professionals, recent graduates, and current students. While it may not be without its challenges in terms of time management, it is certainly manageable. You'll benefit from a dedicated support staff, an exceptional teaching team, and the enriching experience of collaborating with a diverse cohort throughout your journey.

How challenging is the DPSS content, and should I be concerned if I have no prior experience?

DPSS content is rigorous, but we accommodate participants of all backgrounds. There are no prerequisites for this program. If you're new to data analytics, expect to dedicate approximately 12-15 hours per week. For those who have taken some statistics and/or R programming courses, plan for around 8-12 hours per week. If you already possess a working knowledge of statistical concepts and the R programming language, you can typically commit 6-8 hours per week. Our aim is to provide support and guidance to help you succeed, regardless of your prior experience. 

We also highly encourage our DPSS participants to take the advantage of the Policy Analytics Credential Program before DPSS starts to ensure you have a solid quantitative foundation and maximize your DPSS experience.

Are scholarships offered for DPSS?

While full funding is not available for the DPSS program, merit-based scholarships are awarded to eligible applicants. Applying early can significantly benefit your chances of receiving financial support. 

There is no additional application document required to request being considered for scholarship.

For more financial tips, please read the blog "Financial Planning for Credential Programs".

What professional development resources are available in DPSS?

DPSS provides a comprehensive array of community and co-curricular resources designed to enhance your professional development. Our offerings include weekly virtual events such as the "Policy in Action Speaker Series," "UChicago Community Chats" for networking, "Writing in Policy Workshops," and "Career Exploration Workshops." You can also engage in social activities and consider participating in the optional "Chicago Weekend" on campus. These opportunities are designed to strengthen your professional connections and enrich your DPSS experience. Admitted students will receive additional information about the Chicago Weekend.

What is the Capstone Research Project in the DPSS program, and what does it involve?

The Capstone Research Project is a pivotal aspect of the DPSS program, offering participants the opportunity to engage in hands-on policy research. Under the guidance of DPSS faculty, including Austin Wright, Associate Professor and DPSS Faculty Director, participants collaborate in small groups and access proprietary or open-source data to address pressing policy challenges. Past projects have explored topics such as refugee displacement, the economic impact of mask mandates, and the legacy of the George Floyd protests. The goal of this project is for participants to apply the quantitative analysis and R programming skills they've acquired throughout the program to produce a policy memo. This memo includes a literature review, data analysis, visualization, and a summary of their findings. It's a chance for participants to put their newfound skills into practice and make a tangible impact.

Read Professor Wright's blog post about the capstone research project.

How can I apply the outcomes of the capstone project in academic or professional contexts after completing DPSS?

After successfully completing the Capstone Research Project, participants often submit their projects to their current academic institutions or incorporate them into their graduate school applications. Some continue to build on their specific projects, while others apply the acquired research skills to areas they are most passionate about. These research skills are highly transferable and can be applied to various other projects and career pursuits. Many DPSS alumni have found that the Capstone project has strengthened their graduate school applications and opened up opportunities for internships and career advancement in their respective fields.

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