Master of Science in Data Science

UT Arlington's MS in Data Science is a 30-credit-hour degree housed in the College of Engineering's Department of Computer Science and Engineering, offered in both on-campus and online formats. UTA states it prepares students for STEM, health-related, business and other fields. Related certificate programmes are available in Artificial Intelligence, Big Data Management, Cybersecurity and Deep Learning. Detailed admission requirements are held in the University Catalog rather than on the programme page. What the fee covers: the graduate non-resident (international) rate — tuition and mandatory fees combined — for a nine-month academic year, taken from UTA's official cost-of-attendance budget. Fee year: 2026-27. Before you budget: the tuition shown is UTA's university-wide graduate non-resident cost-of-attendance planning average (tuition plus mandatory fees), not a programme-specific charge — use UTA's Tuition Estimator for a real quote. Living costs and insurance are extra. UTA does not state a duration for this degree on its programme page, so none is shown here. Two details you may see quoted elsewhere are not on UTA's page for this degree and are not claimed here: an engineering/science specialisation split, and a required capstone. Where the requirements come from: the entry requirements are taken from the degree's catalog entry at https://catalog.uta.edu/engineering/computer/graduate/data-science-ms/. That catalog entry prints no English test score and defers to the University Catalog, so the scores shown are UTA's university-wide international graduate minimum (https://www.uta.edu/admissions/apply/international-graduate) rather than a degree-specific bar. One claim that circulates about this degree — that it neither requires nor reviews letters of recommendation or statements of purpose — appears nowhere on UTA's page for it; it belongs to the MS Computer Science page, so do not assume it applies here.