Data Science, Minor

Program Description

The program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, deeper knowledge of probability and statistics, and learn tools to analyze big data sets and to design of the experiments.

Admissions Requirements

To be enrolled in the university as a math or science major. To be enrolled in the university. Calculus I, Calculus II, and some programming skills required. Calculus III preferred.  

Program Requirements

MATH 3342Applied Probability and Statistics3
or MATH 3345 Statistical Modeling and Data Analysis
MATH 3347Introduction to Probability3
MATH 3349Principles of Data Science3
MATH 3311Linear Algebra3
Select three of the following:9
Geospatial Mathematical Techniques
Geospatial Mathematical Techniques
Linear Optimization and Decisions
Introduction to Machine Learning
Applied Regression Analysis
Introduction to Mathematical Statistics
Applied Modeling
Total Hours21