
Needed Right Now: Data Scientists, Analysts, and Engineers
Master of Science in Data Analytics Engineering
The online MS in Data Analytics Engineering delivers a career-focused curriculum so you can advance to a data analyst, engineer, or scientist role. You'll gain the deeper math and technical skills that equip you to identify and use necessary resources that turn Big Data into sound strategy. You will learn to be productive quickly, and how to keep up with emergent trends and changing demands.
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Why Choose Mason?
It’s a top-ranked school for big data
Coursework is developed by faculty in consultation with industry experts
You can earn this degree from anywhere in the world
You’ll customize your degree to your career goals
- Just 10 Courses
- Top 3 Industries
- Extensive Resources
- Earn your degree in less than 2 years, but apply what you learn immediately in your current role.
- Prepare for roles in information science technology, systems engineering, and statistics.
- Gain access to large, online data sets and master the latest technologies.
MS in Data Analytics Engineering
George Mason’s Volgenau School of Engineering has worked with big data and cybersecurity for more than 25 years and the program is led by faculty with rich industry experience and connections. They draw upon both to teach a proven, industry-focused curriculum that graduates top data scientists, analysts, and engineers.
The coursework is developed by faculty in consultation with an expert advisory committee that meets regularly to address industry trends and opportunities for students to learn emergent, career-based skills.
Real-world learning assignments focus on:
Professional curiosity and engagement
Emerging tools and methods surveillance
Special reading assignments
Class workshops/special lectures
Additional training through numerous online resources
Learn In a Top-Ranked School
The 20 Best Schools to Study Big Data Analytics — TechRepublic, March 2016
Top 50 Best-Value, Big Data Graduate Programs — Value Colleges, 2018
Preparing the Mind Behind the Math
At the center of the big data discussion is the question of, “What now?” And quickly following that is, “How?” What can be done with it? How can we see what’s needed? How do we interpret this? How do we extract only the data that’s needed?” George Mason prepares the next generation of data experts to deliver a process that transforms raw data, places it into a decision-making context, and leverages technology to produce evidence-based strategies and smart systems.