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.
School: School of Engineering, Computer Science Department
Description: Covers the principles of modern database and information management systems as well as methods for mining massive data sets. Topics range from system design, architecture and management to applying algorithms, data-mining and machine-learning techniques to perform analyses over large data sets. Related topics include distributed systems, networking and security on the system side as well as text mining, bioinformatics, Web search and social media applications.
Stanford also offers a four-course graduate certificate in Mining Massive Data Sets.
Prerequisites: Candidates must have acquired the foundations of computer science at the level of an undergrad minor at a minimum. At Stanford these foundations include courses on the mathematical foundations of computing, programming methodology and abstractions, computer organization and systems, object-oriented systems design and principles of computer systems.
Full-time program: 2 years.
Part-time options: Limited
Distance learning options: Selected courses