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.
6 Tools to Protect Big DataMost IT teams have their conventional databases covered in terms of security and business continuity. But as we enter the era of big data, Hadoop, and NoSQL, protection schemes need to evolve. In fact, big data could drive the next big security strategy shift.
Big Data Brings Big Security ProblemsWhy should big data be more difficult to secure? In a word, variety. But the business won’t wait to use it to predict customer behavior, find correlations across disparate data sources, predict fraud or financial risk, and more.
Join us for a roundup of the top stories on InformationWeek.com for the week of December 14, 2014. Be here for the show and for the incredible Friday Afternoon Conversation that runs beside the program.