Phd Thesis On Big Data

Phd Thesis On Big Data-33
(For students who receive exemptions allowing them to take fewer than 4 approved list courses, the average will be calculated over those courses.) The average in the 2 free choice courses must also be at least 3.5.

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The average in the 4 approved list courses used to fulfill the breadth requirement must be at least 3.5.The 4 courses must satisfy the following two requirements: i) Theory requirement: At least one of the 4 courses must be taken in the Theory area.ii) Systems & Applications Requirement: At least two of the 4 courses must be taken in Systems & Applications.However, any student who uses courses taken in another university to fulfill one or both of the Systems & Applications course requirements must work on a medium-size or larger software project at NYU.This project can be part of coursework or the student's research. Graduate coursework in areas other than Computer Science can be transferred on a course-by-course basis with approval of the Ph D Committee (PHDC). Other graduate coursework in Computer Science may be transferred on a course-by-course basis.Exemptions from approved list courses: Students who have previously received a grade of A or A- in a graduate course similar to one on the approved list, while enrolled in a graduate program at a university with standards comparable to those at NYU, can use that course in lieu of taking the course on the approved list.The determination of whether a previously taken course can be used in this way will be made by the PHDC.Subsequent changes to the plan must be approved by the advisor.Each Ph D student must complete a breadth requirement consisting of 6 courses.

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