Mar 10, 2016 | Atlanta, GA
Georgia Tech announced that HPCC Systems®, LexisNexis® Risk Solutions’ open-source, enterprise-proven platform for Big Data analysis and processing for large volumes of data in 24/7 environments, has contributed the first fellowships to the Institute’s interdisciplinary M.S. in Analytics one-year degree program. This unique program is set to produce technologically savvy professionals who will be adept at handling Big Data issues from an interdisciplinary perspective, as the program is a collaboration with the College of Engineering, the College of Computing, and the College of Business.
The fellowships are a one-year contribution that will be awarded to two students with the intention of helping the M.S. in Analytics program attract top talent. In addition, the fellowships can create a talent pipeline: The students will be able to take an internship with HPCC Systems or even be a potential post-graduation hire.
About the collaboration, program director Joel Sokol (also Fouts Family Associate Professor in the Stewart School of Industrial & Systems Engineering) says, “We are delighted to partner with HPCC Systems for this first fellowship for the M.S. in Analytics program. It will strengthen Georgia Tech’s and HPCC Systems’ attractiveness for outstanding analytics professionals. We look forward to awarding the fellowships to talented and deserving students.”
HPCC Systems is an open source solution for Big Data insights that can be implemented by businesses of all sizes. Born from LexisNexis Risk Solutions’ deep data analysis history, HPCC Systems helps businesses find the answers they’re looking for by making Big Data easier to process, analyze and understand. With HPCC Systems, developers can design applications with Big Data at their core, allowing businesses to better analyze and understand data at scale, improving business time to results and decisions.
“Individuals with the ability to identify patterns in vast data and extract facts, with a solid foundation in business, analytics and computer science, are in high demand in a modern world where nearly every industry has access to increasingly larger and more complex data than ever before,” said Flavio Villanustre, Vice President, Technology, HPCC Systems. “We chose to be involved with Georgia Tech’s M.S. in Analytics program because high-quality education is paramount to develop talent for the decades to come, and give individuals every opportunity to succeed.”
Stewart School of Industrial & Systems Engineering