The Minor in Social Science Quantitative Data Analytics, administered by the Department of Economics, enhances the education and empowers students interested in understanding how core social science skills such as critical thinking and theoretically oriented analysis are useful in the systematic collection, integration, analysis, and presentation of large-scale and dense information.
The minor is available as an elective to students who are enrolled in bachelor’s degree programs in the College of Social Science. With the approval of the department and college that administer the student’s degree program, the courses that are used to satisfy the minor may also be used to satisfy the requirements for the bachelor’s degree.
Requirements for the Minor in Social Science Quantitative Data Analytics
Students must complete a minimum of 15 credits from the following:
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| 1. |
The following course (3 credits): |
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PLS |
202 |
Introduction to Data Analytics and the Social Sciences |
3 |
| 2. |
One of the following quantitative methods courses (3 or 4 credits): |
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EC |
420 |
Introduction to Econometric Methods |
3 |
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GEO |
363 |
Introduction to Quantitative Methods for Geographers |
3 |
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MTH |
234 |
Multivariable Calculus |
4 |
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PSY |
395 |
Research Design and Measurement in Psychological Research |
3 |
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SOC |
282 |
Quantitative Analysis for Social Research |
4 |
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STT |
200 |
Statistical Methods |
3 |
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STT |
201 |
Statistical Methods |
4 |
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STT |
315 |
Introduction to Probability and Statistics for Business |
3 |
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STT |
421 |
Statistics I |
3 |
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STT |
441 |
Probability and Statistics I: Probability |
3 |
| 3. |
Two of the following courses (6 to 8 credits): |
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CMSE |
201 |
Computational Modeling and Data Analysis I |
4 |
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CMSE |
202 |
Computational Modeling and Data Analysis II |
4 |
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CSE |
231 |
Introduction to Programming I |
4 |
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CSE |
232 |
Introduction to Programming II |
4 |
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EC |
421 |
Advanced Econometric Methods |
3 |
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GEO |
325 |
Geographic Information Systems |
3 |
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GEO |
429 |
Programming with Spatial Data |
3 |
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MTH |
235 |
Differential Equations |
3 |
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PLS |
397 |
Analyzing and Visualizing Data in Politics |
3 |
| 4. |
One of the following capstone courses (3 credits): |
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EC |
242 |
Social Science Data Analytics |
3 |
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SSC |
442 |
Social Science Data Analytic Applications |
3 |