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.
Policies
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.
Minor Requirements
Total credits: 15
Core Sequence Credits
| Code | Title | Credits |
|---|---|---|
| Select one sequence from the following: 1 | 6 | |
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 Credits | 6 | |
- 1
Mathematics majors may substitute MATH 351 and MATH 352 for the core sequence credits provided all 9 elective credits are in STAT courses.
Electives
| Code | Title | Credits |
|---|---|---|
| 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 (Mason Core) | ||
| 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 Optimization | ||
| Stochastic Models | ||
| Statistics in Psychology | ||
SOCI 313 | (Mason Core) | |
| Analysis of Social Data | ||
| Human Computer Interaction | ||
| Decision and Risk Analysis | ||
| Total Credits | 9 | |