Description: Develops quantitative and technical skills as well as communication skills and the ability to transform data into a competitive asset. Program concludes with a 12-week research project in which students focus on a hands-on, research-driven problem within a company. Students gain advanced statistical analysis skills and an understanding of customer and transactional data. They'll also gain experience with big data, analytics and data visualization tools. Finally, students will develop presentation and communication skills needed to engage stakeholders on complex issues.
Prerequisites: Undergraduate degree (B+ average or better) in a field with significant quantitative and computational requirements, such as commerce, engineering, computer science, natural science, economics, mathematics or statistics. GMAT test scores required (no more than 5 years old).
6 Tools to Protect Big DataMost IT teams have their conventional databases covered in terms of security and business continuity. But as we enter the era of big data, Hadoop, and NoSQL, protection schemes need to evolve. In fact, big data could drive the next big security strategy shift.
Big Data Brings Big Security ProblemsWhy should big data be more difficult to secure? In a word, variety. But the business won’t wait to use it to predict customer behavior, find correlations across disparate data sources, predict fraud or financial risk, and more.
InformationWeek Must Reads Oct. 21, 2014InformationWeek's new Must Reads is a compendium of our best recent coverage of digital strategy. Learn why you should learn to embrace DevOps, how to avoid roadblocks for digital projects, what the five steps to API management are, and more.