Data Analytics and Computation 204 - StatisticalModels/PublicPolicy

Fall
2026
01
4.00
Irene Morse

TU TH 10:00AM 11:15AM

UMass Amherst
21228
imorse@umass.edu
21224
This is designed to create intelligent consumers of policy research. The course is not designed to make students into policy researchers, but to enable them to understand the research done by others with a sufficiently skeptical eye to allow them to determine whether the findings of the research are valid given the assumptions made and methods used. This will involve, in part, learning by doing. In addition to learning about the building blocks of using statistics for understanding policies, you will be asked to work with real world data to make policy recommendations. It will also involve thinking about the various problems in data collection, measurement, and analytic approaches that could lead to faulty conclusions. (Gen. Ed. R2)

11/higher Math Placement or R1

Permission is required for interchange registration during the add/drop period only.