Minor in Data Analytics in Social Science
| Code | Title | Hours |
|---|---|---|
| Choose one: | 3 | |
| Social Statistics | ||
| Statistical Methods | ||
| Quantitative Methods in Geographic Research | ||
| Choose one: | 3 or 4 | |
| Social Research Methods | ||
| Research and Writing in Political Science | ||
| Research Methods In Psychology | ||
| DANN 2000 | Proseminar in Data Analytics I | 1 |
| PHIL 3160 | Data Science Ethics | 3 |
| GEPL 4110 | Geographic Information Systems | 3 |
| or GEPL 4180 | Geographic Information Systems Applications | |
| ECON 2810 | Introduction to Econometrics | 3 |
| DANN 4000 | Proseminar in Data Analytics II | 2 |
| Total Hours | 18-19 | |
1. Students will learn and apply skills in multivariate statistical analysis to social science data.
2. Students will construct databases, learn to manipulate them and to use the data to ask questions of interest.
3.Students will describe and evaluate various social and ethical issues related to the use of data analytics.
4. Students will summarize and assess the importance of social context in analyzing social data.
5. Students will recognize the strengths and limitations of quantitative analysis of social phenomenon.
6. Students will effectively communicate the importance of their data analysis through written work and/or oral presentations.
2. Students will construct databases, learn to manipulate them and to use the data to ask questions of interest.
3.Students will describe and evaluate various social and ethical issues related to the use of data analytics.
4. Students will summarize and assess the importance of social context in analyzing social data.
5. Students will recognize the strengths and limitations of quantitative analysis of social phenomenon.
6. Students will effectively communicate the importance of their data analysis through written work and/or oral presentations.