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COMBINING THE STORIED, RIGOROUS RESEARCH TRADITION AT THE UNIVERSITY OF CHICAGO COMPUTER SCIENCE DEPARTMENT WITH THE CUTTING-EDGE POLICY PROGRAMS AT THE HARRIS SCHOOL, CAPP DEGREE STUDENTS DON'T SHY AWAY FROM THE WORLD'S PROBLEMS: THEY DIVE STRAIGHT IN. 

JOIN CHICAGO HARRIS ON THE FRONTLINE OF DATA SCIENCE AND POLICY, WITH A JOINT- DEGREE IN COMPUTER SCIENCE FROM THE UNIVERSITY OF CHICAGO AND PUBLIC POLICY FROM THE HARRIS SCHOOL. 


Learn more about the importance of data and policy.

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.

CURRENT STUDENT: Alden golab

“To be able to take a bunch of data and utilize advanced methodologies to pull something that tells you about those people – it’s like this magic thing.”

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Masters of Science in
Computational Analysis & Public Policy

In the first year, students complete both a one-year programming sequence and a core set of classes in statistics and economics. Courses marked with an [H] are taught by Chicago Harris. Courses marked with a [CS] are taught by Computer Science. In the second year, students enroll in an integrative lab course, focused on applications of the core curriculum to a real world problem. At the end of the first academic year, students choose an area of concentration for their second-year elective classes.

Concentrations: Curricular Path Courses

Combined focusStudents can combine both a Computer Science and a Public Policy curricular path, using the curricular path classes for one and the three elective classes for the other.

Computer Science: Students are required to take at least three advanced computer science classes.   Pre-approved sequences include:

Data Analytics:
Machine Learning and Large-scale Data Analysis (CMSC 25025)
Big Data (MPCS 53013)
Advanced Databases (MPCS 53003)

Security:
Computer and Network Security (MPCS 56515)
Digital Forensics (MPCS 56513)
Networks (MPCS 54001)

Software Engineering:
Introduction to Software Engineering (MPCS 51200)
Object Oriented Architecture: Patterns, Technologies, Implementations (MPCS 51050)
Cloud Computing (MPCS 51083)

Policy Expertise: Students on this path are required to take at least three courses in a substantive policy area. Pre-approved sequences include:

Urban Policy:
Political Economy of Cities and Metropolitan Areas (PPHA 35801)
Crime Policy (PPHA 37102)
Housing Policy (PPHA 34710)

Policy Entrepreneurship:
Political Institutions and the Policy Process (PPHA 31600)
Firms, Governments, and Activists (PPHA 33730)
Political Feasibility Analysis (PPHA 35411)

Environmental Policy:
Environmental Science and Policy (PPHA 38900)
Energy Economics (PPHA 39201)
Topics in Environmental Policy (PPHA 39000)

Health:
Economics and Public Health in the Developing World (PPHA 35201)
Law and Economics of Health and Health Care (PPHA 37800)]
Aging and Health Policy (PPHA 35301)