This is an archived copy of the 2021-2022 catalog. To access the most recent version of the catalog, please visit http://catalog.uta.edu/.

Interdisciplinary Graduate Programs


M.S. IN DATA SCIENCE

UTA’s Master of Science degree in Data Science helps meet the growing need for data science professionals in STEM, health-related and other fields, expanding students’ marketable skills and preparing them to enter a fast-growing job field.

The program is unique for its breadth, offering a widely encompassing set of courses that allows students without a computer science background to develop the necessary skills for data science jobs in business, engineering, healthcare and science settings. It aims to instill the acumen needed to draw insights from data, to make sound decisions using data, and to effectively communicate about data-driven findings and decisions.

Students will use real-world problems, methods and data in instruction materials through collaboration with community partners; problem-based, experiential learning which emphasizes hands-on coding exercises; service learning in which students learn while doing for social good; and inclusive learning to broaden student participation and strengthen student retention in data science education.

The degree requires 30 credit hours and can be completed in two years. After completion of a set of core courses, students choose to pursue one of five tracks: engineering, biology, geology, mathematics, or psychology. They will participate in a required capstone experience which can be integrated with workplace projects. Elective options offer additional flexibility to craft a degree that fits his or her specific situation.

Students will come from different backgrounds, but the most important factor for their growth and success will be a keen interest in learning the powerful ways in which data can be applied in various fields.