The certificate is intended for students who are interested in addressing the challenge of transforming the massive data arising in applications such as business analytics, cyber defense/forensics, energy, finance, genomics, health care, intelligence, law enforcement, or transportation, into meaningful information. The program is intended for graduate students in areas where applications of big data may arise.
Graduate certificates may be pursued independently or in conjunction with a graduate degree program. Please see the University Catalog for complete information on program requirements and policies. Additional specifications may apply.
This certificate program provides a broad overview of the end-to-end value chain for Big Data Analytics, from the capture and management of the data, through the analytics that harness the data to create value. The program is designed to provide a framework for the methodologies for organizing and integrating disparate data, analyzing and visualizing the integrated data, and determining what decisions or actions should be taken to generate value from the data.
The graduate certificate may be pursued only on a part-time basis.
Applicants should have an undergraduate degree from an accredited institution, with a GPA of at least 3.00 in their last 60 credits of study. While no specific undergraduate degree is required, a background in engineering, business, computer science, math, or information technology is desirable; alternatively, strong work experience with data or analytics may be used.
Certificate Requirements (12 credits)
Students who enroll in a certificate program will receive state-of-the art scientific and practical information in cutting-edge areas. All courses are taught by our distinguished faculty with years of experience in their respective fields or research and practice. As graduate student at Mason you will have access to the vast resources of our library and the open lab facilities in the Volgenau School.
Graduate certificates may be pursued on a full-time or part-time basis.