Data Analytics Graduate Certificate at George Mason University

Programme overview

The Data Analytics Graduate Certificate allows students to obtain a basic foundation of knowledge and skills in data analytics engineering. These foundation courses provide the student with an understanding of the following concepts: • Data, data quality, and large volumes of data • Data management and data mining • Modeling and model usage for making decisions • Statistical methods and visualization

Faculty: College of Engineering and Computing | Duration: 12 credits | Study mode: full-time | Location: Fairfax, VA, United States

What you will study

Total 12 credits. Curriculum courses listed include Foundations of Data Processing; Principles of Data Management and Mining; Introduction to Analytics and Modeling; Applied Statistics and Visualization for Analytics.

Official programme page

Application information

Entry requirements

Applicants must have completed a baccalaureate degree from a regionally accredited program with an earned GPA of 3.00 or better in their 60 highest-level credits. Applicants are expected to have completed a degree in engineering, business, computer science, statistics, mathematics, or information technology, with demonstrated foundational competence in calculus, statistics, and computer programming. Applicants without that formal academic preparation but with clear evidence of strong and extensive work experience in data or analytics, may also be considered on a case by case basis. Current graduate students in the Volgenau School of Engineering and the School of Business can elect this certificate with the Graduate Secondary Certificate Program Application from the Office of the University Registrar .

Duration: 12 credits

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