IBM Narrows Big Data Skills Gap, Partners With Universities
IBM announced it added nine new partnerships with universities to teach big data skills.IBM has added nine new academic collaborations—focusing on big data and analytics—to its more than 1,000 partnerships with universities worldwide. IBM is doing its part to narrow the big data skills gap by helping to prepare students for the 4.4 million jobs that will be created worldwide to support big data by 2015. The company also announced more than $100,000 in awards for big data curricula. As part of IBM's Academic Initiative, the company is launching new curricula focusing on big data and analytics with Georgetown University, George Washington University, Rensselaer Polytechnic Institute and the University of Missouri, as well as a new addition to IBM's partnership with Northwestern University. Internationally, IBM is partnering with Dublin City University, Mother Teresa Women's University in India, the National University of Singapore and the Philippines' Commission on Higher Education to offer data-driven degree programs, coursework and specialization tracks. "It's no secret that harnessing the power of big data can provide organizations with a competitive edge, and the tools to obtain these insights are readily available," Richard Rodts, manager of global academic programs at IBM, said in a statement. "The challenge we must overcome now is narrowing the big data skills gap that exists, which is why IBM is partnering with universities across the globe to provide students with the needed big data and analytics curriculum to make an impact in today's data-driven marketplace."
IBM also announced the winners of its 2013 Big Data and Analytics Faculty Awards in which 14 university professors from around the world will receive $10,000 each for top-rated curricula designed to develop the business and technical skills required for data-crunching jobs. The winning proposals include programs focused on computer science/electrical engineering, business administration, economics, strategic management, and math and statistics.