Number 2: Top 10 Big Data graduate programs

4) College of Computing and Digital Media, DePaul University: “Graduates obtain a variety of skills required for a career in predictive analytics, including the ability to analyze large datasets and to develop modeling solutions for decision support. Students also gain a good understanding of the fundamental principles of marketing and customer relationship management along with communication skills to present results to a non-technical business audience. Students can pursue concentrations in computational methods or marketing.”

5) LeBow College of Business, Drexel University“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.”

6) School of Engineering and Applied Sciences, Harvard University: “One-year program developed in 2010 by Harvard’s Institute For Applied Computational Science (IACS). Provides mathematical and computing foundations complemented by independent research projects and elective courses. Graduates will master mathematical techniques for modeling and simulation of complex systems; parallel programming and collaborative software development; and efficient methods for organizing, exploring, visualizing, processing and analyzing very large data sets.”

7) E.J. Ourso College of Business, Louisiana State University: “Designed to meet the demand for professionals who understand big data and have the analytics skills needed to extract actionable information from large and complex data sets. Curriculum emphasizes use of advanced data management tools and applied statistical and operations research techniques to analyze large, real-world data sets in order to increase return on investment, improve customer retention, reduce fraud and improve decision making. Students receive training in SAS, SQL, R and other tools. Student teams work with companies and government organizations to solve business problems in areas such as insurance, banking, health care, communications, e-commerce, law enforcement and marketing.”

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