Explores the requirements, design, organization, and management of large data analytics (“Big Data”) projects, including architecture of data analytics systems, roles of Data Scientists and Data Analytics Project Managers, tools and methods for conducting data analytics research, and data governance, security, curation, privacy, and legal issues. Includes review of case studies from social media, government, and industry, definitions and concepts, and communication requirements. Principles, explained and demonstrated, are applied by students to case study based projects and individual assignments/labs.Offered by Info Sciences & Technology. May not be repeated for credit.
Big Data Needs Analysis
George Mason University
AIT 622 DL2
Times and Days
Admission to a graduate program in Applied IT or Health Informatics, or permission of the instructor.