Data science and data analytics applications exist in numerous industries and government agencies. This diversity of opportunity is reflected in the interdisciplinary nature of the Data Science and Data Analytics (DSDA) Program which involves six colleges; Agriculture, Education and Behavioral Science, Engineering and Computer Science, Liberal Arts and Communication, Nursing and Health Professions, and Sciences and Mathematics. The DSDA Program builds out from the general education curriculum to a program core of 37 hours and two specific emphasis areas from which students can choose. The program core is required of all students in the program and covers content in Statistics, programming, visualization, data governance and ethics. The two emphases - Data Science and Data Analytics - provide further depth beyond the program core. Within each emphasis, students will be required to complete courses within their particular area of interest or “domain”. Domains could include social sciences, healthcare, geospatial technologies, engineering, computer science or other application areas. Each emphasis (including the domain study) will require 45-46 hours.

The domain studies, proposed by participating colleges, will conform to the following parameters:

1. All courses proposed as part of domain studies will have to be existing courses or courses proposed as part of other academic programs in the university
2. Domain studies affiliated with the Data Science emphasis are limited to 21 to 22 hours of which 7 hours are upper level.
3. Domain studies affiliated with the Data Analytics emphasis are limited to 32 to 34 hours of which 10 hours are upper level.

The outcomes of the BS program are:

1. Identify societal and ethical impacts as well as the responsibility that come with access to data.
2. Critically assess and remediate issues with data organization and data quality.
3. Design and implement a solution to a problem in the realm of data science/data analytics through problem identification, problem solving, decision making, visualization, data analysis and reporting.

A 19-hour undergraduate certificate in Data Analytics is also available to all majors. The outcomes of the certificate are:

1. Identify societal and ethical impacts as well as the responsibilities that come with access to data.
2. Critically assess and remediate issues with data organization and data quality.