CERTIFICATE PROGRAM IN QUANTITATIVE POLITICAL SCIENCE METHODS
The Certificate in Quantitative Political Science Methods is a program designed to lead to an understanding
of how social scientists pose research questions, design tests of hypotheses, and analyze quantifiable
information. These are valuable skills for the workforce and graduate school, as well as for all informed
citizens. A basic understanding of how social science research is conducted can help citizens evaluate the
information they read about in the newspaper or hear about on television. Students completing the program
will have put their methodological skills to use in their own in-class research projects, as part of their
required Political Science Seminar 790:395.
- This program is open only to declared Political Science majors, and will be awarded only in conjunction with or subsequent to the awarding of a BA in Political Science.
- To participate in the program, students should contact Prof. Roy Licklider, the Political Science facultyadvisor, at email@example.com.
- Students must satisfactorily complete 790:300, Introduction to Political Science Methods.
- Students must satisfactorily complete a 790:395 seminar that is quantitatively oriented.
- Students must satisfactorily complete any three of the following courses (Political Science may be applied to Political Science degree requirements, Economics, Psychology and Sociology courses maybe applied to cognate discipline requirements):
790:349 Rational Choice Models and Politics 790:307 Survey Research 790:392 Applied Research Methods 790:481,482 Internship (with approved statistical or
|220:405||Economics of Uncertainty|
|220:406||Game Theory and Economics|
|640:104||Elementary Combinatorics and Probability|
|640:339|| Mathematical Models in the Social and
|830:200||Quantitative Methods in Psychology|
|830:300||Research Methods in Psychology|
|830:23||Research Methods in Social Psychology|
|920:311||Introduction to Social Research|
|920:312||Computer Analysis of Social Science Data|
Any course in the Statistics Department