All students in the proposed Masters of Science in Data Science and Analytics Engineering program will take thirty (30) credit hours with the Thesis option, thirty-three (33) credit hours with the project option, or thirty-six (36) credit hours for the course-work only option of graduate-level courses to graduate from the program, not including any provisional admission course requirements, over four semesters. Student must obtain a minimum grade of B for all courses counted towards graduation.
Thesis option: the student must take three core (9 credits), a minimum of five elective (15 credits) graduate-level courses, and six credits of thesis. The thesis must be supervised by a faculty member, as a thesis advisor. The initial thesis proposal must be defended with an oral presentation and approved by the student’s thesis committee (three members, including the advisor). The thesis must be submitted to the department in a bound form after the oral defense, which will occur after completing the thesis. A student is required to submit at least one conference paper from his/her thesis work before the defense.
Non-thesis option: the student must take three core (9 credits) and a minimum of seven engineering electives (21 credits) graduate-level courses and a 3-credit hour research project that must be approved by the project advisor. A copy of the resulting scholarly paper (if any) must be submitted to the department. A Student needs to perform a scholarly activity as part of his/her project work.
Course-work only option: the student will be required to take three core (9 credits) and a minimum of nine elective (27 credits) graduate-level courses.
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