The Data Analysis Minor provides students with a background in data analysis, statistical methodology, and data science. It is intended to complement undergraduate degree programs such as computer science, economics, environmental engineering, geography, mathematics, nursing, psychology, public administration, sociology, and systems engineering.


For policies governing all minors, see AP.5.3.4 Minors.

Digital Technology Credential

Student can earn the Digital Technology Credential by enrolling in the Data Analysis Minor.

Program Requirements

The minor requires 15 credits: a core sequence of 6 credits, plus 9 credits of electives. Grades of C or better are required in all courses. At least 3 of the 9 elective credits must be in STAT or CDS courses numbered above 300. At least 8 credits must be in courses not required by the student's major.

Banner Code: DATA

Minor Requirements

Total credits: 15

Core Sequence Credits

Select one sequence from the following: 16
Sequence 1:
Introductory Statistics I (Mason Core)
Introductory Statistics II
Sequence 2:
Probability and Statistics for Engineers and Scientists I
Probability and Statistics for Engineers and Scientists II
Total Credits6


Select 9 credits from the following:9
Introduction to Computer Statistical Packages
Experimental Design
Applied Regression Analysis
Introduction to Biostatistics
Applied Multivariate Statistics
Introduction to Exploratory Data Analysis
Nonparametric Statistics and Categorical Data Analysis
Introduction to Statistical Learning
Introduction to Survey Sampling
Special Topics in Statistics
Health Data Challenges
Bioinformatics and Computational Biology I
Biostatistics for Biology Majors
Biostatistics for Bioinformatics
Introduction to Research Design and Analysis
Computing for Scientists (Mason Core)
Scientific Information and Data Visualization
Scientific Data and Databases
Scientific Data Mining
Database Concepts
Data Mining
Introduction to Cyber Security Engineering
Introduction to Econometrics
Design and Analysis of Experiments
Research Methods and Analysis (Mason Core)
Quantitative Methods for Geographical Analysis
Data Analysis and Global Change Detection Techniques
Discrete Systems Modeling and Simulation
Deterministic Operations Research
Stochastic Operations Research
Statistics in Psychology
Statistics for the Behavioral Sciences (Mason Core)
Analysis of Social Data
Human Computer Interaction
Decision and Risk Analysis
Total Credits9