TEDx Explores Harmonic Tectonics
TEDx Explores Harmonic Tectonics
NYIT Students Surpass the $1 Million Mark in Combined Earnings from Internships
TEDxNYIT: Creating Harmony in a World Experiencing Tectonic Shifts
Dynamic, Radical Solutions Needed: 2014 Cybersecurity Conference Highlights
NYIT Engineering Professor Wins NIH Grant for Robotics Research
Advanced Database Searching
Interdisciplinary Studies Career Panel
Dig Lavender: Volleyball vs. Queens (N.Y.)
“The Year of Turkey 2014” - The Heritage of Turkish Art: Opening Reception
“The Year of Turkey 2014” - The Heritage of Turkish Art: Exhibition
As the internet continues its spread into every aspect of the average American’s day to day life, the amount of data generated by web users has ballooned into what Computer Scientists call “big data.” Big data is a mainly unstructured and untapped array of information that consists of videos, photos, emails, tweets, likes, clicks, and more. While current technology enables us to reliably and cheaply store such data, the sheer volume of it makes it difficult to analyze and extract relevant social and business information from it. This has led to an ever-increasing demand for workers skilled in “big data analytics,” the new and continually evolving set of tools and techniques for discovering and decoding the relevant pieces of big data. Big data can be used to make vital decisions in fields as diverse as science, politics, health, crime, security, and energy use.
The research arm of the American global management consulting firm, McKinsey and Company, Inc., projects that by 2020, the U.S. will need between 140,000 and 190,000 additional workers with deep analytic skills, and up to 1.5 million more data-literate managers. To meet this demand, NYIT will begin offering a course, “Big Data Analytics,” along with a Computer Science program concentration in “Big Data Management and Analytics.” The new CS concentration is a revision of the currently offered concentration in “Information Management,” and is designed to equip Computer Science students with both the technical knowledge and analytic acumen necessary to extract meaning from big data.
Because all computer science-related fields are being transformed by data-driven discovery and decision-making, NYIT’s computer science faculty has identified the necessity of preparing our students with deep analytic skills. The job market for college graduates with these skills is growing rapidly, increasing at more than 30 percent a year, and is likely to become a $24 billion industry by 2016, as forecasted by the research firm IDC.
Several major technology companies and a host of start-ups are aggressively pursuing the big data business. IBM, a leader in big data management and analytics and NYIT partner, has agreed to assist the School of Engineering and Computing Sciences in the implementation of the new Big Data Analytics concentration and courses. With their “System z Academic Initiative,” IBM will enable NYIT to use and teach IBM enterprise systems and connect IBM clients with NYIT to hire students who are learning these critical system skills.
Thanks to this new level of partnership with IBM and the innovative addition of Big Data Analytics to the B.S. in Computer Science program at NYIT, graduates will be endowed with the inquisitive, analytical, and detail-oriented skills necessary to succeed in the ever-evolving technology market.