Programme overview

Main Subject

Biological Sciences

Study Level

Masters

The University Of Chicago Department Of Computer Science and the Harris School of Public Policy offer the Master's degree in Computational Analysis & Public Policy (MSCAPP). As government decision-making becomes more data driven, issues of data use, data sharing, transparency, and accountability have become increasingly important from both a public policy and a technological perspective. Realizing the potential social benefits associated with the ability to collect, share, and analyze massive amounts of government data requires individuals trained in both public policy and computer science. This two-year program offers students rigorous training in: Public Policy: policy analysis and strategy, program evaluation, organizational decision making, and substantive specializations in an area chosen by the individual student. Computer Science: computer programming, data analytics and machine learning, and databases. The program is unique in its focus on the intersection between policy analysis and computer science. With core competence in both of these areas, graduates are in a position to make meaningful contributions to the design, implementation, and rigorous analysis of policies at a time when the public sector is becoming increasingly data-driven, and as more data are collected, stored, and made publicly available. The program is designed for graduates to serve in roles such as Chief Information Officer (CIO), Chief Data Officer (CDO), Chief Technical Officer (CTO), or Transparency Officer (TO) in federal, state, and local governments and work in private firms that serve the public sector.

Programme overview

Main Subject

Biological Sciences

Study Level

Masters

The University Of Chicago Department Of Computer Science and the Harris School of Public Policy offer the Master's degree in Computational Analysis & Public Policy (MSCAPP). As government decision-making becomes more data driven, issues of data use, data sharing, transparency, and accountability have become increasingly important from both a public policy and a technological perspective. Realizing the potential social benefits associated with the ability to collect, share, and analyze massive amounts of government data requires individuals trained in both public policy and computer science. This two-year program offers students rigorous training in: Public Policy: policy analysis and strategy, program evaluation, organizational decision making, and substantive specializations in an area chosen by the individual student. Computer Science: computer programming, data analytics and machine learning, and databases. The program is unique in its focus on the intersection between policy analysis and computer science. With core competence in both of these areas, graduates are in a position to make meaningful contributions to the design, implementation, and rigorous analysis of policies at a time when the public sector is becoming increasingly data-driven, and as more data are collected, stored, and made publicly available. The program is designed for graduates to serve in roles such as Chief Information Officer (CIO), Chief Data Officer (CDO), Chief Technical Officer (CTO), or Transparency Officer (TO) in federal, state, and local governments and work in private firms that serve the public sector.

Admission Requirements

IELTS

7+

Starting Month(s)

Jan-2000

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

Master of Science in Computational Analysis and Public Policy

# 21QS Subject Rankings

24 monthsProgramme duration

Biological SciencesMain Subject Area

Programme overview

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Programme overview

Main Subject

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