Policy Analytics Minor

The Media & Text with CTA pattern is designed to fill the hero area of a high-level landing page, to orient users to what your page is about.

Program overview

The policy analytics minor is intended to provide skills in employing advanced analytical methods that have become critical to the design, implementation and evaluation of public policy on the part of government agencies, nonprofits, think tanks and academicians. Students are exposed to the foundations of public policy and the policy-making process, analytical tools from economics and political science, quantitative methods and program evaluation techniques, subject matter from a selected public policy field and development of a portfolio that requires hands-on applications in conducting public policy research.

Why study Policy Analytics?

Public Policy Analytics equips students with knowledge of both how public policies are made and the quantitative skills for evaluating the effectiveness of said policies. Students can supplement any major and gain the skills and competencies needed for careers in public, private, and nonprofit organizations. 

Featured Courses

HBS 481/482 101 – Policy Lab

Using real problems identified by public sector partner(s), students work in teams to design an original research project. Students demonstrate competencies in sampling, survey design, econometric models, and statistical analysis software. Emphasis on skills in professional writing, communicating with data, and project management.

ECON 311 – Intermediate Microeconomics

Theories of consumer behavior, of production and costs, of price and behavior of firms in perfectly competitive, monopolistic, and imperfectly competitive markets, input prices, income distribution, welfare, and general equilibrium.

ECON 381 – Introduction to Econometrics

Introductory probability, statistics, and econometrics from an economic perspective with emphasis on skills related to gathering, managing, processing, presenting, and interpreting economic data. Includes the use of statistical software in hands-on research projects. Considers common econometric problems such as multicollinearity, heteroscedasticity, and autocorrelation.