Applied Statistics Minor Course Lists

For the most current lists of approved courses in these categories, please consult the Data Scholarship Program.

Introductory Statistics

3, 4, or 5 on the Advanced Placement Statistics exam
ANTH 46833
ANTH 4713Statistical Concepts in Anthropology3
BIOL 2913Intro to Quantitative Biology3
COMM 2513Introduction to Statistics3
ECON 2843Elements of Statistics3
GEOG 3924Quantitative Methods4
METR 4313Statistical Meteorology3
P SC 2013Introduction to Political Analysis3
PSY 2003Understanding Statistics3
SOC/P SC 3123Social Statistics3
S WK 2223Statistics for Social Work3

Intermediate Statistics

ECON 4223Econometric Analysis3
MATH 4743Introduction to Mathematical Statistics3
MATH 4773Applied Regression Analysis3
PSY 3003Advanced Undergraduate Statistics3

Experimental Design/Research Methods/Linear Algebra

BIOL 4913Quantitative Biology3
MATH 3333Linear Algebra I3
PSY 3114Research Methods: Applications and Experimental Design4
SOC 3133Methods of Social Research3
S WK 4083Undergraduate Social Work Research Methods I3
S WK 4093Undergraduate Social Work Research Methods II3

Statistical Computing

ASTR 3190Topics in Astronomy (topic: Introduction to Research)3
C S 1213Programming for Non-Majors with Python3
C S 1313Programming for Non-Majors with C3
C S 1321Java for Programmers1
C S 1323Introduction to Computer Programming for Programmers3
C S 1324Introduction to Computer Programming for Non-Programmers4
LIS 4643Introduction to Data Analytics3
MBIO/PBIO 4783Introduction to Python Programming for Data Analytics3
METR 1313Introduction to Programming for Meteorology3
PSY 2503Computing for Behavioral Sciences3

Applied Statistics Experience or Advanced Elective

Most of the advanced electives require instructor permission and many disciplinary-specific prerequisites that should be met or specifically discussed with the instructor prior to enrollment. Upon or before enrollment, students will need to identify a faculty member affiliated with the Data Scholarship Program who can supervise their internship, independent study, or research experience.

To fulfill this requirement, the course must include a data-related project with a written report. Students will submit a DSP Project Experience Course Approval Form for approval before the end of the free add/drop period.  Alternatively, an additional course can be taken from among listed courses in the previous categories AND that includes a substantial project that includes data analysis, visualization, and interpretation and a discussion of any ethical considerations with respect to the topic and data. In this case, students will submit a DSP Project Experience Course Approval Form to describe the project in the course. 

BIOL 4913Quantitative Biology3
BIOL 4943Multivariate Analysis3
CAS 4630CAS Internship3
CAS 4990Independent Study (with a DSP faculty affiliate or with an approved, applied statistical research component)3
DSP 4983Data Analytics and Applied Statistics Research Experience3
GIS 4923Spatial Statistics3
MATH 4743Introduction to Mathematical Statistics3
MATH 4803Topics in Mathematics3
MATH 4753Applied Statistical Methods3
MATH 4773Applied Regression Analysis3
MATH 4793Advanced Applied Statistics3
PSY 4023Psychological Test and Measurements3