Description: Explores quantitative methods, uncovering relationships through data analysis, and the use of data to solve business problems. Students learn how to influence decision-making, strategy and operations with fact-based insights and business performance analysis. Program addresses statistical and quantitative analysis as well as explanatory and predictive modeling with courses on statistics, operations research, mathematical modeling and management information systems.
Prerequisites: Candidates evaluated based on graduate test scores, undergraduate GPA and work experience. Work experience is preferred but not mandatory. GMAT is required with scores demonstrating a high-level of quantitative and analytical ability.
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.
Join InformationWeek’s Lorna Garey and Mike Healey, president of Yeoman Technology Group, an engineering and research firm focused on maximizing technology investments, to discuss the right way to go digital.