Academic Opportunities
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Quantitative Certificate
A strong command of quantitative methods is essential to accurately work through a range of types of data sets, with the ultimate goal of developing meaningful and effective policy. This GPS program allows students to gain a certificate in quantitative methods.
Program Overview
The Quantitative Certificate program offers a deep dive into applied data analysis, with course offerings on topics including marketplace behavior, field experiment development, survey methods and big data, which is fast becoming an important area of study for policy development.
The program certificate is open to current students enrolled in a master's degree or Ph.D. program at GPS. The certificate will not show as part of a formal transcript, rather it is a signed “Certificate of Completion” document that you can provide to potential employers or program advisers. You can list it on your resume, CV and applications, documenting that you have developed state of the art skills in this area.
Questions? Contact Professor Craig McIntosh, the director of the Quantitative Certificate program.Curriculum
The certification of completion will not be listed on your transcripts; however, you will receive a “Certificate of Completion” signed by Craig McIntosh.
All courses must be completed with a “B” or better, and can overlap with your MIA, BA-MIA, MPP, BA-MPP or MCEPA degree requirements.
The courses below are the only courses that will count toward the Quantitative Certificate. Students must take two required courses and one elective course.
For Academic Year 2025-2026
Required Courses (students must take two classes; one class from each category below)
I. GPEC 446 - QM III - Applied Data Analysis and Statistical Decision Making
II. GPCO 462: Public Policy Capstone (with Khanna)
-OR-
GPCO 468: Evaluating Technological Innovation (QM IV)
Elective Courses (students must complete one of the following four courses)
- GPEC 435: Topics in International Trade (requires GPEC 446 as pre-requisite)
- GPEC 464: Designing Field Experiments (requires GPCO 468 as a pre-requisite)
- GPIM 452: Big Data for Policy, Government, and Management
- GPIM 457: Cost-Benefit Analysis
- GPIM 424: Corporate Finance (not offered AY 2025-2026)