Master of Science in Computational Analysis and Public Policy
E265146
The Master of Science in Computational Analysis and Public Policy is an interdisciplinary graduate program that trains students to apply advanced data science, statistics, and computational methods to the design and evaluation of public policy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Master of Science in Computational Analysis and Public Policy canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2422842 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Master of Science in Computational Analysis and Public Policy Context triple: [Harris School of Public Policy, offersProgram, Master of Science in Computational Analysis and Public Policy]
-
A.
A Framework for Political Analysis
A Framework for Political Analysis is a foundational political science book by David Easton that systematically outlines a general systems theory approach to understanding political life and processes.
-
B.
Master of Information and Data Science
The Master of Information and Data Science is a professional graduate degree program focused on advanced data science methods, analytics, and their real-world applications in industry and research.
-
C.
School of Public Policy
The School of Public Policy at the University of California, Riverside is an academic unit focused on training students and conducting research in public policy, governance, and related social issues.
-
D.
Graduate School of Public Policy
The Graduate School of Public Policy at the University of Tokyo is a professional graduate school specializing in training future leaders and experts in public policy, international affairs, and related fields.
-
E.
Institute of Policy Sciences and Public Affairs
The Institute of Policy Sciences and Public Affairs, now known as the Sanford School of Public Policy, was a pioneering public policy institute at Duke University focused on training leaders and conducting research in domestic and international policy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Master of Science in Computational Analysis and Public Policy Target entity description: The Master of Science in Computational Analysis and Public Policy is an interdisciplinary graduate program that trains students to apply advanced data science, statistics, and computational methods to the design and evaluation of public policy.
-
A.
A Framework for Political Analysis
A Framework for Political Analysis is a foundational political science book by David Easton that systematically outlines a general systems theory approach to understanding political life and processes.
-
B.
Master of Information and Data Science
The Master of Information and Data Science is a professional graduate degree program focused on advanced data science methods, analytics, and their real-world applications in industry and research.
-
C.
School of Public Policy
The School of Public Policy at the University of California, Riverside is an academic unit focused on training students and conducting research in public policy, governance, and related social issues.
-
D.
Graduate School of Public Policy
The Graduate School of Public Policy at the University of Tokyo is a professional graduate school specializing in training future leaders and experts in public policy, international affairs, and related fields.
-
E.
Institute of Policy Sciences and Public Affairs
The Institute of Policy Sciences and Public Affairs, now known as the Sanford School of Public Policy, was a pioneering public policy institute at Duke University focused on training leaders and conducting research in domestic and international policy.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
data science program
ⓘ
graduate degree program ⓘ interdisciplinary program ⓘ public policy program ⓘ |
| academic degree program | master’s program ⓘ |
| academicLevel | graduate ⓘ |
| applicationDomain |
economic policy
ⓘ
government policy ⓘ social policy ⓘ urban policy ⓘ |
| degreeType | Master of Science ⓘ |
| emphasizes |
computational modeling of policy problems
ⓘ
evidence-based policymaking ⓘ large-scale data analysis ⓘ quantitative policy evaluation ⓘ statistical inference in policy contexts ⓘ |
| fieldOfStudy |
computational analysis
ⓘ
computer science ⓘ data science ⓘ public policy ⓘ statistics ⓘ |
| focusesOn |
application of advanced data science methods to public policy
ⓘ
application of computational methods to public policy ⓘ application of statistics to public policy ⓘ policy design ⓘ policy evaluation ⓘ |
| goal |
bridge technical data science skills with policy domain knowledge
ⓘ
train students to use data and computation to inform policy decisions ⓘ |
| hasComponent |
data-driven decision making
ⓘ
empirical research methods ⓘ programming and computation training ⓘ public policy analysis coursework ⓘ quantitative methods training ⓘ |
| methodology |
advanced statistical modeling
ⓘ
causal inference methods ⓘ computational social science techniques ⓘ policy simulation and modeling ⓘ |
| preparesFor |
careers in data science for public sector
ⓘ
careers in government analytics ⓘ careers in nonprofit and NGO policy work ⓘ careers in policy research ⓘ careers in public policy analysis ⓘ |
| shortName | MS-CAPP ⓘ |
| targetAudience | students interested in combining data science and public policy ⓘ |
| typicalCurriculumIncludes |
courses in data visualization
ⓘ
courses in econometrics ⓘ courses in machine learning ⓘ courses in programming ⓘ courses in public policy analysis ⓘ courses in statistics ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Master of Science in Computational Analysis and Public Policy Description of subject: The Master of Science in Computational Analysis and Public Policy is an interdisciplinary graduate program that trains students to apply advanced data science, statistics, and computational methods to the design and evaluation of public policy.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
Harris School of Public Policy
→
offersProgram
→
Master of Science in Computational Analysis and Public Policy
ⓘ