The era of Big Data has arrived. From healthcare to retail to manufacturing to e-commerce, big data is now pervasive. The ubiquity of social media, sensor networks, and technological advances in data collection have resulted in massive datasets that demand methods for analysis and visualization. It is not a far stretch of the imagination to claim that every IT professional today, to be successful, must have a working understanding of data science. 7 out of 10 organizations have already invested in or plan to invest in Big Data by 2016. Estimates place the need for Big Data professionals in the US over the next five years to range from 500,000 to 1.5 million. Compensation for Big Data professionals are amongst the highest in the IT industry, commanding annual salaries in the range $100 (entry level to $300K (with experience).
Effective Big Data practice entails a knowledge of storage and processing architectures for massive data, understanding of machine learning and data analytics, and the ability to use data visualizations to comprehend and communicate insights. Having a comprehensive understanding of systems, algorithms, and human factors provides the necessary skill set to lead big data practice across the IT enterprise.
CS 5044: Object Oriented Analysis & Design
Prerequisites: Knowledge of programming languages such as Java, C, C++, or C#; offered fall, spring, summer
CS 5644: Machine Learning with Big Data
Prerequisites: CS 5044; offered fall
CS 5664: Social Media Analytics
Prerequisites: CS 5044; offered spring
Virginia Tech has more than 15 years of serving as an industry leader in online master of information technology programs, and was recently ranked #2 in U.S. News & World Report, along with the following distinctions:
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