For Students who declared before Fall 2025
The specialization in Data Analytics and Quantitative Analysis (DAQA) provides opportunities to pursue advanced work in computational and data analytics, econometrics and quantitative analysis and to apply these techniques to a broad array of policy and management issues.
For Students who declared before Fall 2025
The Data Analytics & Quantitative Analysis (DAQA) Specialization requires 9 points, consisting of one required three-point course, and six-points in either quantitative analysis or data analytics electives.
In addition to these requirements, DAQA students are required to complete the SIPA U6400 / SIPA U6401 sequence of economics in the MIA and MPA core and SIPA U6500 Quantitative Analysis for International & Public Affairs to qualify for the DAQA Specialization. Additionally, students must earn a minimum grade of B- in SIPA U6400 and SIPA U6500. It is strongly recommended that students complete SIPA U6500 during their first semester.
Questions should be directed to Marie Gugnishev, Coordinator of the DAQA Specialization, at mg4441@columbia.edu.
DAQA Pre-Requisites
*Minimum grade requirement of B-
DAQA Requirements
International Economic Policy Concentration Students
Due to International Economic Policy requiring SIPA U6501 as a core course, students in this concentration must instead take an additional DAQA elective course to fulfill specialization requirements for a total of 9 credits in DAQA electives:
For Students who declared before Fall 2025
Required Course
Course List
| Code |
Title |
Points |
| Points |
| SIPA U6501 | | |
Quantitative Analysis Focus Area
Course List
| Code |
Title |
Points |
| Points |
| INAF U6599 | Quant III: Labor Economics For Policy Students | 3.00 |
| INAF U6604 | Applied Econometrics | 3.00 |
| INAF U6608 | Economics of Education Policy | 3.00 |
| INAF U6614 | Data Analysis for Policy Research Using R | 3.00 |
| INAF U8145 | Advanced Economic Development for International Affairs | 3.00 |
| INAF U8305 | Conducting Empirical Research in Economics | 3.00 |
| INAF U8360 | Economic Measurement of Discrimination | 3.00 |
| PEPM U6640 | Macroeconometrics | 3 |
| PUAF U8516 | Time Series Analysis | 3.00 |
| SIPA U8500 | Quantitative Methods in Program Evaluation and Policy Research | 3.00 |
| INAF U6016 | Cost-Benefit Analysis | 3.00 |
| INAF U6098 | Financial Risk Management and Public Policy | 3.00 |
| INAF U6301 | Corporate Finance | 3.00 |
| INAF U6326 | Renewable Energy Project Finance Modeling | 3.00 |
| INAF U6508 | Using Big Data to Develop Public Policy | 3.00 |
| INAF U6511 | Intro to Infographics and Data Visualization | 1.50 |
| INAF U6512 | Data Driven Approaches for Campaigns and Advocacy | 3.00 |
| INAF U6578 | Data Collection for Evaluation, Policy, and Management | 1.50 |
| INAF U6858 | Economics of US Social Policy | 1.50 |
| INAF U6889 | Impact Measurement ＆ Evaluation for Sustainable Development | 3.00 |
| INAF U6891 | Impact Evaluations in Practice | 1.50 |
| INAF U6892 | Monitoring and Evaluation: Driving Evidence-Based Development and Humanitarian Aid | 3.00 |
| INAF U8195 | Behavioral Development Economics | 3.00 |
| |
| | 3.00 |
| QMSS GR5073Q | Machine Learning for the Social Sciences | 3.00 |
Computational and Data Analysis Focus Area
Course List
| Code |
Title |
Points |
| Points |
| INAF U6006 | Computing in Context | 3.00 |
| INAF U6503 | Applying Machine Learning | 3.00 |
| INAF U6506 | Data Science ＆ Public Policy | 3.00 |
| INAF U6514 | Text as Data | 3.00 |
| INAF U6600 | Testing Models of Public Policy Making | 3.00 |
| INAF U6614 | Data Analysis for Policy Research Using R | 3.00 |
| INAF U6659 | Advanced Computing for Policy | 3.00 |
| PUAF U8516 | Time Series Analysis | 3.00 |
| INAF U6004 | Application Development for Social Impact | 1.50 |
| INAF U6005 | Generative AI | 1.50 |
| INAF U6009 | Artificial Intelligence in Public Policy | 1.50 |
| INAF U6098 | Financial Risk Management and Public Policy | 3.00 |
| INAF U6272 | Introduction to Data Analytics for Public Policy, Administration, and Management | 1.50 |
| INAF U6274 | Introduction to Database Design, Management, and Security | 1.50 |
| INAF U6275 | Geographic Information Systems and Analysis | 3.00 |
| INAF U6502 | Into to Text Analysis in Python | 3.00 |
| INAF U6504 | Python for Public Policy | 1.50 |
| INAF U6508 | Using Big Data to Develop Public Policy | 3.00 |
| INAF U6511 | Intro to Infographics and Data Visualization | 1.50 |
| INAF U6512 | Data Driven Approaches for Campaigns and Advocacy | 3.00 |
| INAF U6547 | Building AI Tools with Large Language Models | 1.50 |
| INAF U6548 | Artificial Intelligence Institutions | 3.00 |
| INAF U6576 | Data and Conflict | 3.00 |
| INAF U6593 | R for Public Policy | 1.50 |
| INAF U6892 | Monitoring and Evaluation: Driving Evidence-Based Development and Humanitarian Aid | 3.00 |
| INAF U6958 | Gender Data for Gender Equality | 1.50 |
| |
| | 3.00 |
| QMSS GR5073Q | Machine Learning for the Social Sciences | 3.00 |
Degree Audit Report
Matriculated students in this program can view their degree audit report on Stellic.