These courses cover foundational topics, including: basics of probability, descriptive statistics, and introductory inferential statistics (t-tests, linear regression). 

ANTH 5230: Introduction to Statistical Thinking in Anthropology
ECON 3640: Probability and Statistical Inference for Economists
FCS 3210: Statistics in Family and Consumer Studies
GEOG 3020: Geographical Analysis
POLS 5001: Quantitative Analysis in Political Science 
PSY 3000: Statistical Methods in Psychology
SOC 3112: Social Statistics
SOC 6120: Statistics I

Methodology courses are focused on strategies and techniques for collecting valid data. These courses are grouped into four different categories, based on the overlap in content between courses. Students are required to take two courses, drawn from two different categories, to ensure methodological breadth. 

A) Experimental designs with consideration of reliability/validity
PSY 3010: Research Methods in Psychology
FCS 3200: Research Methods in Family and Consumer Studies
POLS 3001: Political Analysis
SOC 3111: Research Methods
SOC 3673: Social Epidemiology

B) Demographic/Survey Methods
FCS 5700: Analyzing Community Growth: An Evidence-based Approach
FCS 5120: Demographic Methods

C) Geospatial analyses
GEOG 3140: Intro GIS
GEOG 3170/5170: Satellites, Lasers and Compasses: Field Methods for Geographic Data
GEOG 5150: Spatial Data Design
GEOG 5190: GIS for Environmental and Public Health

D) Field work, Interviewing, Observation
ANTH 4169: Ethnographic Methods

These courses require a substantial proportion of time spent on developing programming skills in one or more common programs for data analysis (R, SAS, Stata, SPSS, etc.). Minimum of approximately 1/3 emphasis on software/programming. Students are encouraged to consider completing more than one course emphasizing the application of statistical software, employers frequently list skills in SAS/SPSS/R as desirable.

ECON 4650: Principles of Econometrics
FCS 5120: Demographic Methods
GEOG 1180: Introduction to Geo-Programming
GEOG 5180: Geoprocessing with Python
GEOG 5680: Introduction to R Programming
STAT 5003: Survey of Statistical Computer Packages

These courses are primarily focused on the development of statistical skills, research methodology skills, and/or programming skills. 

ANTH 5485: Graphical Data Analysis
ANTH 5850: Quantitative Analysis of Archaeological Data 
ANTH 4962/5962: Spatial Analysis in Anthropology
ANTH 4250: Spatial Analysis
ANTH 5221: Human Evolutionary Genetics
ANTH 4351: Anthropological Demography
COMP 5360: Introduction to Data Science
ECON 4650: Principles of Econometrics
ECON 4660 & 4670: Statistical Analysis for Economics
GEOG 5020: Advanced Spatial Analysis 
GEOG 3140: Introduction to Geographic Information Systems (GIS)
GEOG 5140: Methods in Geographic Information Systems
GEOG 5160: Spatial Modeling with GIS
GEOG 5150: Spatial Data Design for GIS 
GEOG 5165: Web GIS. 
POLS 3002: Quantitative Approaches to International Relations 
PSY 5500: Quantitative Methods
PSY 5510: Quantitative Methods II
SOC 3650: Population and Society

These courses contribute to the written or oral expression of technical/scientific material. Courses are required to include a significant writing or oral presentation related to the results of a data collection and/or analysis. Courses with a CW designation do not automatically meet this requirement, but must also include a substantial exercise in communicating about data. The course will typically have a CW designation; courses without this designation can meet this requirement if there is a substantial writing/presentation requirement that is consistent across all offerings of the course. 

PSY 3010: Research Methods in Psychology 
WRTG 3012: Writing in the Social Sciences
WRTG 3014: Writing in the Sciences
WRTG 3015: Professional/Technical Writing

Students are required to complete a capstone project which shows the integration of statistical methods, research methodology, programming skills, and communication skills. The administrator of the course is required to endorse a form indicating whether the capstone selected by the student meets the capstone requirements. Capstones must be completed and submitted at least one week before the last day of classes in the semester one plans to graduate. Earlier submission is recommended to allow for revisions.

For an overview of the capstone and details about the process, see:
Capstone Guidance Form

When prepared to submit the capstone for review:
Capstone Completion Application