Data Science, Certificate
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. Calculus I, Calculus II, and some programming skills required. Calculus III preferred.
Program Requirements
| Code | Title | Hours |
|---|---|---|
| CORE COURSES: | ||
| MATH 3342 | Applied Probability and Statistics | 3 |
| or MATH 3345 | Statistical Modeling and Data Analysis | |
| MATH 3347 | Introduction to Probability | 3 |
| MATH 3349 | Principles of Data Science | 3 |
| MATH 3311 | Linear Algebra | 3 |
| Electives | ||
| Select two of the following: | 6 | |
| Geospatial Mathematical Techniques | ||
or GISC 3300 | Geospatial Mathematical Techniques | |
| Linear Optimization and Decisions | ||
| Introduction to Machine Learning | ||
| Applied Regression Analysis | ||
| Introduction to Mathematical Statistics | ||
| Applied Modeling | ||
| Total Hours | 18 | |