Data Analytics Engineering, MS—Online

Prepare for a career on the frontier of data analytics, with the Online Master of Science in Data Analytics Engineering. Whether you’re an experienced engineer or brand-new to data analytics, this program will immerse you in specializations such as data visualization, database design, and data mining, giving you the opportunity to obtain the skills to bridge the gap between raw data and actionable insights. 

Once you’ve mastered essential data analytics techniques such as data normalization and data mapping—and become proficient in multiple programming languages such as R, SQL, and Python—you’ll be ready to take on roles like predictive modeling analyst, advanced software engineer, data integration engineer, and more to help shape the evolution of data as a transformative force in modern society.

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
or DADS 6400	Foundations for Data Analytics
IE 6600	Computation and Visualization for Analytics	4
or DADS 6600	Computation and Visualization for Analytics
IE 6700	Data Management for Analytics	4
or DADS 6700	Data Management for Analytics
IE 7275	Data Mining in Engineering	4
or DADS 7275	Machine Learning and Data Analytics
IE 7615	Neural Networks and Deep Learning	4

Additional Requirements 

Course List

Code	Title	Hours
Complete 12 semester hours from the following:		12
IE 6750	Data Warehousing and Integration
IE 7300	Statistical Learning for Engineering
IE 7500	Applied Natural Language Processing in Engineering
OR 6205	Deterministic Operations Research

Program Credit/GPA Requirements

32 total semester hours required
Minimum 3.000 GPA required