DSCI 5350 - Big Data Analytics

3 hours

Current issues in storage, retrieval, and analysis of large volumes of data (Big Data), in order to support business decisions. Big Data are stored in a variety of formats, including Web log, Internet clickstream data, as well as unstructured data, such as industry reports and customer comments. Big Data analytics utilize data sources that may be left untapped by conventional business intelligence solutions. Topics include conventional data warehousing, retrieval of large data sets that are stored across clustered systems, natural language processing, topic extraction in textual data, machine learning and artificial intelligence, and predictive analytics for unstructured data. A semester project in Big Data Analytics relevant to a functional area of business is an important component of the course.

Prerequisite(s): Consent of department.