Needed Right Now: Data Scientists, Analysts, and Engineers

Master of Science in Data Analytics Engineering

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

 

Prepare Vital Information for Key Business Decisions

Data Analytics Engineering is an essential component to successful business strategies, decision-making, and problem solving. This multidisciplinary program develops a naturally innovative mindset to using Big Data. You gain a strong combination of foundational concepts, deep technical savvy, and plenty of hands on experience.

You'll Be Ready To:

  • Create the frameworks that makes data-driven intelligence possible.
  • Condition data to fit into a framework and make it exploitable.
  • Repeatedly draw key insights from data and use them in business strategies.

By graduation, you'll be the top competitor for the data architect, scientist, engineer, or analyst role you prefer.