Master-level studies involve specialized study in a field of research or an area of professional practice. Earning a master’s degree demonstrates a higher level of mastery of the subject. Earning a master’s degree can take anywhere from a year to three or four years. Before you can graduate, you usually must write and defend a thesis, a long paper that is the culmination of your specialized research.
Big data is an important field of study for any business that handles data sets far larger than common software tools can handle. The applications of big data are used in healthcare, the military, education, manufacturing and many other industries.
The United States of America commonly called the United States, is a federal republic consisting of fifty states and a federal district. The 48 contiguous states and the federal district of Washington, D.C. are in first North America between Canada and Mexico. The state of Alaska is in northwestern North America, west of Canada and east of Russia across the Bering Strait, and the state of Hawaii is an archipelago in the mid-North Pacific. The country also has five populated and nine unpopulated territories in the Pacific and the Caribbean.
Start Today Best Part time Master Degrees in Big Data in North America 2017
The MMIS program at the Jon M. Huntsman School of Business is an innovative, project-based program designed to address business problems through the use of technology. It carries a STEM designation (29-month work option after graduation) in database management and analytics, consistently attracting many talented students from around the world. [+]
Why Choose Saint Rose for Business Analytics? It’s all about the numbers in nearly every industry. But you have to know what to do with them. The Business Analytics program at Saint Rose is an intensive, applied education designed to help you make your mark in “big data.” [+]
A deeper understanding of information systems can only enhance your career prospects. [+]
Survival in today's marketplace demands professionals who combine a passion for innovation with the ability to analyze and interpret large volumes of data. [+]