Big Data Analytics Master's Degrees: 20 Top Programs
January 08, 2013 09:06 AM These one-year and two-year graduate programs are just what's needed to close the big-data talent gap. Read on to find a school that fits your ambitions and background.
New York, N.Y.
School: The Fu Foundation School of Engineering and Applied Science
Description: 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.
Prerequisites: Undergraduate degree in computer science or a related discipline with a minimum GPA of 3.3 (3.5 or higher is typical). Those with undergraduate degree in a different field must complete at least four computer science courses covering foundations of the field and basic programming, and two mathematics courses.
Full-time program: 2 years.
Part-time options: Yes. Up to five years to complete the degree.
Distance learning options: Selected courses.