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Big Data Analytics Master's Degrees: 20 Top Programs

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.
Big Data Analytics Master's Degrees: 20 Top Programs
Comments | Doug Henschen | January 08, 2013 09:06 AM

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University of California, Berkeley

Berkeley, California

Degree: Master of Engineering

School: College of Engineering, Electrical Engineering and Computer Sciences Department

Description: Accelerated, interdisciplinary program has three major components: a technical concentration, courses in leadership skills and a "capstone" project through which teams of three to five students study a specific problem or opportunity that can be addressed by technology. Concentration options include Data Science and Systems, which prepares students for data-centric industries requiring understanding of data management fundamentals, technologies and techniques.

The College of Engineering is the home of Berkeley's AMPLab, which explores the role of algorithms, machines and people in big data analytics.

Prerequisites: Bachelor's degree or equivalent with a minimum GPA of 3.0. GRE test required.

Full-time program: 10 Months.

Part-time options: Yes. Two-year, part-time program available.

Distance learning options: No

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