Admission Requirements
Applicants qualify for admission with an undergraduate or master’s degree in an engineering or mathematical field (including coursework mentioned below). Applicants from other fields qualify for consideration if they have successfully completed three semesters of calculus (through multivariate calculus), and one semester each of linear algebra and computer programming (or equivalent experience). The GRE graduate school admission test is optional. Applicants must have excellent English communication skills. If required, TOEFL English language proficiency test scores should be in accordance with the requirements specified by the Moody School of Graduate and Advanced Studies. See the Language Requirement section of the Moody School catalog.
Degree Requirements
The Ph.D. in data science requires a minimum of 60 credit hours, no more than 12 of which may be dissertation credits. The program includes 10 core courses, two research rotations, and four electives, as specified below. Each rotation will count as a 3-hour, one-semester course. Students must complete a minimum of three years of graduate academic work, at least one of which is in full-time residence on the campus of SMU or at a research facility approved by the departmental faculty and the dean of the Moody School. In addition, students must pass the Comprehensive Exams, the Ph.D. Qualifying Exam, and the prospectus exam, and complete and defend a dissertation.
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