Course Options by Requirement
Introduction to Statistics Options
Students can take any introductory statistics course offered on campus that is at or above the 200-level. That course must cover descriptive statistics, basic probabilistic reasoning, and statistical inference (reasoning from sample to population or data-generating process), confidence intervals for point estimation, hypothesis testing (and the meaning/limitations of “statistical significance”), central limit theorem, and inferences about differences in means and proportions. If one would like another class to be considered for this requirement, please check with the coordinator before taking it.
|
Course |
Credits |
|
SPP 204: Statistical Models for Public Policy |
4 |
|
SOCIOL 212: Elementary Statistics |
4 |
|
POLISCI 293Q: Quantitative Methods for Political Science |
3 |
|
LEGAL 393E: Empirical Legal Studies |
3 |
|
ANTHRO 281: Statistics in Anthropology Using R |
4 |
|
ResEcon 212: Intro to Stats for Social Scientists |
4 |
|
ResEcon 213: Intermediate Statistics for Business and Economics |
3 |
|
NRC 240: Introduction to Quantitative Ecology |
3 |
|
EDUC 240: Introduction to Educational Statistics |
3 |
|
STAT 240: Introduction to Statistics |
4 |
|
STAT 310: Fundamental Concepts of Statistics |
3 |
|
STAT 516: Fundamental Concepts of Statistics |
3 |
|
STAT 490S Mathematical Foundations of Statistics and Data Science |
3 |
|
PSYCH 240: Statistics in Psychology |
4 |
|
OIM 240 Business Data Analysis |
3 |
|
PUBHLTH 223: Introduction to Biostatistics |
3 |
|
AP Statistics |
4 |
Regression for Social Science Options
Students can take any applied regression course offered on campus, which includes such courses as linear regression and econometrics. This course must include multiple linear regression and regression diagnostics, with these topics being a substantial focus of the course. Ideally, this is then augmented by GLS, GLM (e.g. logistic and other discrete DV regressions), and/or other related topics, such as random effects, model selection, etc. If one would like another class to be considered for this requirement, please check with the coordinator before taking it.
|
Course |
Credits |
|
SOCIOL 390A: Applied Regression |
4 |
|
RESECON 312: Introduction to Econometrics |
3 |
|
ECON 201: Introductory Econometrics |
3 |
|
STAT 525: Regression Analysis |
3 |
Elective Options
Students must take 2 electives on advanced topics at the 200 level or higher, from among those listed below. At least one of these courses must be a computational or quantitative elective. Additionally, at least one of these courses must be at the 300-level.
If a student would like to petition for an alternative course to count towards the certificate, they must do so before taking the course.
|
Course |
Credits |
|
Quantitative Elective |
|
|
STAT/SPP/SOC 590SM: Advanced Statistics with Impact Mindset |
4 |
|
SOC 313 Survey Design and Analysis |
4 |
|
SOC 351 Social Network Analysis |
4 |
|
POLISCI 394RIH: Political Polling and Survey Research |
4 |
|
POLISCI 394RI: Political Polling and Survey Research |
4 |
|
RESECON 472: Advanced Topics in Environment and Resource Economics |
3 |
|
RESECON 428: Managerial Economics |
3 |
|
JOURNAL 343: Data-Driven Storytelling |
3 |
|
DACSS 348: Machine Learning |
4 |
|
NRC/GEOGRAPH/SPP/DACSS 585: Introduction to GIS |
4 |
|
ENGLISH 491DS: Data Science for the Humanities |
3 |
|
INFO 348: Data Analytics with Python |
3 |
|
INFO 248: Introduction to Data Science |
4 |
|
Other Elective |
|
|
ANTHRO 360: Methods in Linguistic Anthropology |
4 |
|
ECON 337: Economics in the Age of Big Data |
3 |