Needed Right Now: Data Scientists, Analysts, and Engineers

Master of Science in Data Analytics Engineering and Graduate Certificate Option

Dive deep into data engineering, data architecture, and data analysis and graduate as a top competitor for roles in these fields. The online MS in Data Analytics Engineering, offered by the esteemed Volgenau School of Engineering, is a multidisciplinary program that helps you develop an innovative mindset to solving business challenges with Big Data. By graduation, you can deliver a process and use various analytical methods to transform raw data sets into valuable information that's key to making strategic business decisions.

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Why Choose Mason?

  • Online Education LogoThe program is in the GMU Volgenau School of Engineering.
  • Competitive Tuition LogoNo GRE/GMAT required.
  • Outcomes Checklist LogoStudy data analytics in engineering-focused courses.
  • Competitive Tuition Logo100% Online — learn from the best when and where it's best for you.
  • 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 more than 25 years experience in Big Data and cybersecurity. Its faculty meet regularly with an advisory committee of industry experts to ensure they're offering a career-based program.

The program includes a variety of electives that can be matched to your career and offers unique courses such as Neural Networks and Computer Vision. In your capstone course, you'll create a functional team project and deliver a technical report and oral briefing at its completion.

Graduate Ce​rtificate Option

Take four courses in roughly 12 months. Credits can apply toward the online MS in Data Analytics Engineering degree if you decide to enroll in the program at a later time.

Concepts covered include:

  • Scientific LogoData, data quality, and large volumes of data
  • Student Proficiency LogoData management and data mining
  • Alumni Success LogoModeling and model usage for making decisions
  • Employer Guidance LogoStatistical methods and visualization

 

Data Analytics Engineering - Knowledge and Skills for the Military

Graduates of Mason's Data Analytics Engineering (DAEN) program are provided essential knowledge and skills that are applicable across a large number of military missions. 

These graduates will be able to fulfill military data analytics roles:

  • Data Engineering
  • Machine Learning Engineering 
  • Data Science
  • Data Architecture

The curriculum dives deep into data analytics algorithms, tools, and processes you need to solve a wide range of real-world problems. It is a multidisciplinary program covering the following domains; operations research, systems engineering, computer science, data engineering and statistics. The program's blend of multiple engineering domains is well-suited to the diverse problem domains of the military. 

"The military, more than many other organizations, is highly data-driven. The consequences are often life or death and the final product is national security, so decision-makers need to have the best information available with the best analysis." — Oscar W., Student

"This field (data analytics engineering) is 100% nested with the skills that the Operations Research/Systems Analysis (ORSA/FA49) community needs." — Robyn W., Student

Read more about how George Mason University's Office of Military Services can assist with accessing your military benefits.