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The Doctor of Philosophy (Ph.D.) degree in Data Science entails completion of rigorous coursework requirements that prepare the student for advanced research and analysis in the field. The doctoral degree is characterized as a research degree with substantial emphasis placed on the completion of the dissertation research. Close interaction between the student and his/her research advisory committee plays a pivotal role in the successful completion of the Ph.D. program. Equally important is the discipline and dedication of the student, as independent study is a critical element for timely completion of the program.
Degree Required: M.S. degree in data science, operations research, computer science, mathematics, engineering, statistics, or other highly quantitative area of study. Successful completion of a Master’s thesis is very desirable.
Test Required: GRE - 156V/160Q (within the last five years)
GPA Required: 3.7 (MS); 3.00 (BS)
A baccalaureate-to-doctoral admission may also be granted in some circumstances to applicants who are entering directly from an undergraduate program without a Master’s degree. In such case, the requirement to hold a Master’s degree will be met during the student's Ph.D. program.
Waivers to the above criteria may be granted on a case-by-case basis. Therefore, individuals whose academic credentials fall below any of the above criteria are encouraged to apply.
Dr. Matthew J. Robbins
Degree Type: Doctoral
Delivery Method: In-Residence
Degree Requirements
