PUBPOL 5575

PUBPOL 5575

Course information provided by the 2025-2026 Catalog.

This course will teach you basic “frequentist” statistical techniques used by researchers to investigate social, economic, and political phenomena. These techniques are really just tools to effectively organize data and present information about the world. For example, researchers have recently employed these statistical techniques to answer the following kinds of questions: “To what extent do women and men differ in their opinions about same-sex marriage?”, “Does receiving a college degree increase or decrease preferences for living in diverse neighborhoods?”, “Are birth defects related to local levels of water pollution?”, “Are there significant regional differences in student test score achievement?”. By the end of this semester, you will be skilled enough in the art of statistics to address questions like these. Just as important, this course is designed to help you become an informed consumer of social statistics. You will develop an awareness of the uses of statistics in everyday life, gaining the ability to think critically about statistics, and building skills to interpret and critique research employing these techniques.


Enrollment Priority Enrollment limited to: Brooks School Data Science and Environmental Sustainability Policy Masters students.

Last 4 Terms Offered (None)

Learning Outcomes

  • Employ basic numeric and visualization tools to describe data.
  • Apply inferential statistical analysis to policy-relevant research questions.
  • Conduct statistical evaluations of data in a computing environment.
  • Critique methodological approaches to social scientific research.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  •  1943 PUBPOL 5575   LEC 001

    • MWR
    • Jun 8 - Jun 17, 2026
    • Byrne, A

    • MWR
    • Jun 22 - Jun 29, 2026
    • Byrne, A

    • MWR
    • Jul 8 - Jul 23, 2026
    • Byrne, A

    • MWR
    • Aug 3 - Aug 10, 2026
    • Byrne, A

  • Instruction Mode: In Person

    Enrollment limited to: Master of Data Science for Public Policy students.