The data analytics program is housed in the Department of Electrical Engineering and Computer Science and offered in partnership with other departments at the University, including Mathematics, Library & Information Sciences, and the Busch School of Business. The program is intended for those with backgrounds outside of computer science, such as in business, engineering, healthcare, or physical or social sciences. Students are taught to use computer science, statistics, machine learning, visualization, and human-computer interactions to collect, process, analyze, visualize, and interact with data from their domain of expertise to create useful knowledge.
Consisting of 3 fundamental core courses, 6 program elective courses, and a 3-credit capstone practicum selected from an approved set of challenge areas developed in partnership with industry, government, and civic organizations. Students may receive data sets from partners or public domain to complete a project which involves processing and analyzing the data set to address a specific problem.
Most of the elective courses are offered once a year depending on the availability of faculty.