Data Mining Engineering, Graduate Certificate

The Graduate Certificate in Data Mining Engineering focuses on the creation of statistical and predictive models and algorithms to analyze large data sets with attention on extracting information from data sets and transforming data into structures for further analysis.

This four-course graduate certificate seeks to provide students with opportunities to apply the fundamentals of engineering knowledge and skills to data warehousing, data management, data pre- and postprocessing, development of statistical models, structures discovery, and data visualization.

Note: Master of Science in Data Analytics students are not eligible for this graduate certificate. 

Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

Complete three of the following:12
Data Mining for Engineering Applications
Data Mining in Engineering
Application Engineering and Development
Concepts of Object-Oriented Design
Data Management and Database Design
Advances in Data Sciences and Architecture
Complete one of the following:4
Statistical Methods in Engineering
Metaheuristics and Applications

Program Credit/GPA Requirements

16 total semester hours required
Minimum 3.000 GPA required