Master of Science in Data Science

Wichita State's MS in Data Science (MSDS) is a 30 total credit hour programme with a capstone project, run by the School of Computing. It emphasises applied computer science — machine learning, data mining and working with big data — alongside interdisciplinary courses in mathematics and business. Applicants must hold a bachelor's degree in computer science or a related engineering discipline, and the GRE is not required. After completing nine credit hours and any prerequisite courses, students file a plan of study to declare their electives. The programme carries STEM CIP code 11.0199. What the fee covers: the graduate non-resident (international) rate of $903.59 per credit hour, effective Fall 2026, over 18 credit hours in an academic year — the load Wichita State's own international cost page uses. Tuition only; mandatory fees are extra. Fee year: 2026-27 (the fee schedule is dated 'Effective 2026 Fall Term'). Before you budget: the STEM CIP code matters in practice — it makes the degree eligible for the 24-month OPT STEM extension in the US, which affects how long you have to earn back the investment. Add fees: WSU's international graduate cost page quotes $20,100 tuition and fees for a nine-month, 18-credit-hour year and $26,500 for a 12-month, 24-credit-hour year, against the tuition-only figure shown here. Where the intake comes from: the Graduate School's per-programme admission-terms table (https://www.wichita.edu/admissions/graduate/deadlines.php) names this degree and gives it 'All terms', so this is degree-level evidence rather than a university-wide statement. The same page adds: 'Due to the lack of entry-level coursework offered during the summer semesters, the Graduate School may automatically defer summer applicants to the next fall semester.' In practice, international entry is Fall and Spring.