The Master of Science in Data Analytics and Visualization (DAV) (STEM) program addresses the growing need, both nationally and locally, for researchers, analysts, mapmakers, designers, usability experts, and other data professionals. Drawing on the School of Information’s strengths in information science and human-computer interaction, the program prepares students for work across the full life cycle of data, from data acquisition, manipulation, and storage to statistical analysis and interpretation, and dissemination of data artifacts through visual and narrative means.

The DAV program creates well-rounded data professionals who have strong statistical and technology skills combined with strengths in research, communication, and design, allowing them to ask sophisticated research questions around data, convey information effectively in visual and written communications, and design intuitive, meaningful, and engaging experiences of data.

Course and Credit Requirements

The DAV program consists of 36 credits (12 three-credit classes): 6 required courses and 6 electives which must be completed with a B average or higher. The program is designed to be completed in two years (3 courses per semester) or three years (2 courses per semester). Summer courses may reduce this time. Please note that international students must be enrolled full-time (3 courses, 9 credits per semester). Courses are held at 11:30 AM, 3 PM, and 6:30 PM.

Advanced Certificates

The degree can be completed while earning any of the following advanced certificates:

If you intend to complete an advanced certificate, once enrolled in the program, please submit the Certificate Declaration form at your earliest convenience. Advanced certificates available for graduate students that can be completed beyond the 36-credit degree can be found here.

Course Prerequisites

Please note that some required courses have prerequisites, including INFO 654 Information Technologies for INFO 658 and INFO 664, and INFO 610 Introduction to Statistics for INFO 640. Please note that the courses can be waived if the student has taken relevant courses within the last five years or have recent relevant work experience. Please see the Information Technology webpage and/or the Introduction to Statistics Waiver Request Form for additional details. INFO 654 and INFO 610 can be used to satisfy the Open Electives.

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MS Data Analytics and Visualization

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General

Yearly Plan of Study

Learning Outcomes

Learning Outcomes