George Mason University Online
Master of Science in Data Analytics Engineering

Fairfax, USA

LANGUAGES

English

PACE

Part time

EARLIEST START DATE

Sep 2025

STUDY FORMAT

Distance Learning

Key Summary

About: The Master of Science in Data Analytics Engineering focuses on developing skills in data analysis, programming, and engineering principles. This program covers various topics essential for working with data, including statistical analysis, machine learning, and data visualization techniques.

Career Outcomes: Graduates can pursue careers as data analysts, data engineers, or machine learning engineers. Opportunities also exist in industries such as finance, healthcare, and technology, where data-driven decision-making is crucial.

Introduction

This online degree provides the deep statistical knowledge and technical savviness you need to step into data scientist, engineer and analyst roles in less than 2 years. You'll learn to deliver a process that transforms raw data and places it into a decision-making context and to leverage technology to create informed strategies and smart systems.

Learn in a Career-Focused Curriculum

The program is taught by faculty with rich industry experience and connections. They draw upon both to teach a proven, career-focused curriculum so you're prepared to meet employers' evolving needs.

Earn Your Degree in a Top-Ranked Program

The 20 Best Schools to Study Big Data Analytics — TechRepublic, March 2016

Top 50 Best-Value, Big Data Graduate Programs — Value Colleges, 2018

Top 30 Most Innovative Schools — U.S News & World Report, 2019

Program Highlights

George Mason's Volgenau School of Engineering has worked with big data and cybersecurity for more than 25 years. The program's online format allows the best analytical professionals to learn and advance this science together.

More highlights include:

Degree in less than 2 years
10 career-focused courses
Using what you learn immediately
Learning from anywhere in the world
Mastering cutting-edge technologies

Data Scientist vs. Data Analyst Titles

The online MS in Data Analytics Engineering develops data scientists and analysts. Though the two titles can often share or overlap responsibilities and are sometimes used to mean the same thing, in the strictest definitions, they are different.

Data scientists design the systems for handling data. They have a strong background in computer science and experience in building systems.
Data analysts are generally subject matter experts. They have input into the systems that are designed, but their job is to mine the systems and leverage them to produce an actionable strategy.