Overview
The Social Data Science minor is designed to offer a solid background in data science for students majoring in social science disciplines. It is restricted to students who are declared majors within the Social Sciences Division.
Requirements
Admission
To enter the minor, students (1) must have completed the required lower-division courses for letter grades with a minimum C or better grade in each course, and a grade-point average of 2.5 or better in lower-division courses; and (2) file a petition with the Statistics Department undergraduate adviser.
The Minor
Required Lower-Division Courses (12 or 13 units): Mathematics 33A, Statistics 20, and one course from Economics 41, Geography 7, Political Science 6, Sociology 20, or Statistics 10 through 15.
Required Upper-Division Courses (22 units): Statistics 101A, 101B, 101C, 184, and two additional upper-division elective courses selected from Statistics 100A, 100B, 100C, 102A, 102B, 102C, C116, 130, 131, C151 through 186, or from Communication 155, 156, Economics 104, 143, 144, 147, Geography 181A, 181B, 181C, 182B, 182C, M186, Political Science 141C, 167D, 170A, 179, 191E, Sociology 111, 114, or 191V.
Policies
Statistics 105, 188SA, 188SB, 188SC, 189, 189HC, 195, and 199 may not be applied toward the minor. Elective courses from outside the department are selected in consultation with the Statistics undergraduate faculty adviser. The variable topics courses Political Science 179 and 191E and Sociology 191V may only be applied toward the minor by special petition on the basis of their statistical content.
Economics 104 may be used as a substitute for Statistics 101A as a requisite for Statistics 101B.
A minimum of 20 units applied toward the minor requirements must be in addition to units applied toward major requirements or another minor.
Each minor course must be taken for a letter grade, and students must have an overall grade-point average of 2.0 or better in the minor. Successful completion of the minor is indicated on the transcript and diploma.