The Data Analytics Engineering Graduate Certificate program focuses on fundamental concepts, tools and techniques to extract information from large data sets in order to support effective decision making. This program is designed to provide opportunities for students to master high-demand data intelligence skills through hands-on experience on data storage, data retrieval, data visualization and prediction.
This four-course graduate certificate enables the students to apply the fundamentals of engineering knowledge and skills to database design, data pre- and post-processing for further analysis, data visualization for impactful infographics, statistical concepts for quantitative analysis and data mining techniques and algorithms for knowledge discovery.
Note: MS in Data Analytics students are not eligible for this graduate certificate.
Complete all courses and requirements listed below unless otherwise indicated.
Core Requirements
Course List | Code | Title | Hours |
| IE 6400 | Foundations for Data Analytics Engineering | 4 |
| IE 6600 | Computation and Visualization for Analytics | 4 |
| IE 6700 | Data Management for Analytics | 4 |
| IE 7275 | Data Mining in Engineering | 4 |
Program Credit/GPA Requirements
16 total semester hours required
Minimum 3.000 GPA required
