Top 10 Big Data graduate programs
Here’s a rundown of the 10 best graduate schools for Big Data, as ranked by informationweek.com.
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1) Graduate School of Business, Bentley University–Waltham: “Offers a grounding in strategic marketing and training in making marketing decisions based on quantitative analysis. Program enables students to make informed marketing decisions based on relevant data and to demonstrate the financial impact of those decisions. You’ll be able to analyze large amounts of information to develop customer profiles, determine target markets and segment the customer base.”
2) Heinz College (Public Policy & Information Systems), Carnegie Mellon University: “Blended business-technology program designed to foster better planning, management and technical abilities. The concentration in Business Intelligence and Data Analytics is designed for cross-training in business process analysis, predictive modeling, GIS mapping, analytical reporting, segmentation analysis and data visualization.
Students gain hands-on experience through coursework and through applied research experiences at Heinz College’s iLab. You’ll work with real-world data sets describing behaviors of people using mobile devices, social and digital media environments, smart transportation and health care services.”
3) The Fu Foundation School of Engineering and Applied Science, Columbia University: “The Computer Science department offers masters concentrations in eight disciplines: Computational Biology, Computer Security, Foundations of Computer Science, Machine Learning, Natural Language Processing, Network Systems, Software Systems and Vision and Graphics. The Machine Learning concentration covers techniques and applications in areas such as bioinformatics, fraud detection, intelligent systems, perception, finance, and information retrieval.
The School of Engineering is the home of the Institute for Data Sciences and Engineering, which will engage 300 masters students and 150 doctoral students in its education and research programs focusing on problems relating to big data.”