George Mason University
George Mason University Mason
George Mason University

Data Analytics Engineering, MS

Program Overview

The masters in data analytics engineering is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Topics cover data mining, information technology, statistical models, predictive analytics, optimization, risk analysis, and data visualization. Aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business intelligence, and other information-intensive groups generating and consuming large amounts of data, the program also has wider applications, including concentrations in digital forensics, financial engineering, and business analytics.

Learn more about data analytics engineering.

Find degree requirements in the university catalog.


Graduates with a master’s degree in data analytics engineering are part of a new class of engineers that deploy an interdisciplinary approach of statistical science, computer science, systems analytics, and another field of study such as business, operations research, geoscience, or bioscience. These specialized engineers build the structures that work to contain and organize gigantic fields of data so that it can be used to predict consumer behaviors, social trends such as extremism, disease threats, and factors influencing and influenced by climate change. Mason’s graduates benefit from our extensive history in sociological research, information technology, and global studies, which lends this program its unique strength. The employment outlook for this field is new and growing rapidly.

This information is being provided here for your planning purposes only. For official catalog information, please refer instead to the official George Mason University Catalog Website at