Computational Analysis and Public Policy (MSCAPP)

University of Chicago

United States of America, Chicago

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Home/United States of America/Chicago /University of Chicago/Computational Analysis and Public Policy (MSCAPP)

University of Chicago

United States of America , Chicago

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Campuses

Main Site

Program Language

English

Start & Deadlines

Next Intake Deadlines29-Sep-2022 28-Apr-2022

Apply to this program

Go to the official application for the university

Duration 24 month(s)

Tuition Fee

USD 7,368 / year

Apply Date 28-Apr-2022

Next Intake 29-Sep-2022

Computational Analysis and Public Policy (MSCAPP)

About

Overview The Computational Analysis and Public Policy (MSCAPP) curriculum at University of Chicago is a three-legged stool, building foundational knowledge of computer science, statistics, and public policy analysis. Students then go on to advanced coursework in econometrics, machine learning, big data methods, data visualization, and application development all while learning how to apply these skills in the policy realm.Learning outcomesMS-CAPP graduates have become civic technologists, data scientists, and policy researchers bringing modern technology to bear on the societal problems that matter most. I want to find another Master Course

The M.S. in Computational Analysis and Public Policy (MSCAPP) at University of Chicago is a rigorous, two-year program offered jointly by the Harris School of Public Policy and the Department of Computer Science at The University of Chicago.