Return to: 3210 Department of Computer Science
With the proliferation of social networks and mobile computing and emerging areas of Internet of Things (IoT), cyber sensing and networking technologies, generating and collecting data has become ubiquitous. The computation and analysis of such large amounts of data have become increasingly important for today’s global and competitive economy. Businesses and industries are striving to use data analytics, data mining, machine learning and statistical models to make better data-driven decisions. As a result, a significant growing demand exists for scientists trained in managing large data sets, developing and utilizing computer systems/software to process data, extracting knowledge or insights from data in various forms and modeling predictive analytics.
The certificate consists of 16 credit hours at the 4000 level from the restricted set of courses listed below with an earned grade of B or higher in the first attempt at each course. All corresponding prerequisites will need to be met for the certificate courses. Courses retaken using the university Repeat-to-Replace policy are not counted as first attempts. Normally, students must be Computer Science majors to meet the requirements of the certificate.