Number 2: Top 10 Big Data graduate programs

7) The MIT Sloan School of Management, Massachusetts Institute of Technology: “Curriculum and degree requirements encourage choice and experimentation. After a shared first-semester “core,” students design a personalized course of study. Students receive either an MBA degree or, with the completion of a thesis, a Master of Science in Management. Specialized tracks are offered in Finance, Entrepreneurship & Innovation, Enterprise Management and Sustainability.

Sloan is the home of the MIT Center for Digital Business, which pursues research on the digital economy. The center works with well-known MIT researchers, such as Professors Erik Brynjolfsson, Glen Urban, Andy McAfee and Michael Cusumano, and draws on MIT Sloan students to drive research projects.”

8) Stern School of Business, New York University: “Teaches the use of data and models to support decision making. Students learn how to model such relationships as the impact of advertising on sales, how historical data predict stock returns, and how changes in task characteristics can influence time to completion. Courses cover data mining, decision models, econometrics, forecasting time series data, risk management, trading strategies and systems and regression and multivariate data analysis.

The Stern School is the home of The Center for Business Analytics, an inter-disciplinary research initiative focused on the use of statistical, machine learning, econometric, optimization and experimental methodologies with massive datasets.”

9) Institute for Advanced Analytics, North Carolina State University: “Established in 2007, this 10-month program is designed to give students a thorough understanding of the tools, methods, applications and practice of advanced analytics. The goal is to provide an education that is directly applicable to a career in industry rather than to provide a prelude to a PhD.

Topics include data mining, text mining, forecasting, optimization, databases, data visualization, data privacy and security, financial analytics, and customer analytics, as well as communication and teamwork skills. Team projects are based on analytical problems using real data from sponsoring organizations.”

10) McCormick School of Engineering and Applied Science, Northwestern University: “Curriculum explores data science, information technology and business analytics. Combines mathematical and statistical study with instruction in advanced computation and data analysis. Students learn to identify patterns and trends, interpret and gain insight from vast quantities of structured and unstructured data, and communicate their findings.

Encompasses three areas of data analysis: predictive (forecasting), descriptive (business intelligence and data mining), and prescriptive (optimization and simulation). Program is supplemented by an internship placement and industry supplied projects.”

Is there a program which you think deserves to be on this list? Share your thoughts with us at @ecampusnews.

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