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Degree Requirements

To satisfy the requirements for the master’s degree, the student must complete 30 credits, as described below, with an overall average of B. In addition, a B average is required across the required algorithms course and the four core courses, and a grade of B or better is required for the capstone course, as indicated below. The master’s curriculum has four components: 3 credits of algorithms, 12 credits of core elective courses (one of which may also count as the capstone course), one 3 credit capstone course, and 12 credits of general elective courses. 

Required Course in Algorithms

Students are required to take CS-GY 6033 Design & Analysis of Algorithms I or CS-GY 6043 Design & Analysis of Algorithms II.  Most students will take the Algorithms I course to satisfy the algorithms course requirement. Advanced students who have taken an equivalent Algorithms I course before with a grade of B or better will have the option of taking the Algorithms II course to satisfy the requirement.

Core Course Requirements

Students must take at least four courses from the list of core courses below. The list will be periodically updated by the CSE Department and certain courses may be substituted with departmental consent.

*The CS-GY 9223 core course is: Big Data Management & Analysis.

Capstone Course Requirement

Certain courses in our department will be designated as capstone courses. Capstone courses are drawn from key technical areas in the MS program and they involve a substantial amount of programming effort. Students are required to take at least one capstone course with a grade of B or better. The list of capstone courses will be posted by the department and will be updated from time to time. If a course is listed both as a capstone course and as a core course, the course can be used to satisfy both the capstone and core course requirements. An MS thesis can also be used to satisfy the capstone course requirement. 

Selected topics (CS-GY 9223) include Big Data Management & Analysis, Foundation of Data Science, and Artificial Intelligence for Games.

General Elective Requirements

In addition to the core electives, students are required to take four general elective courses with considerable flexibility; the only restriction is that no more than two of the courses may be taken from outside the Department of Computer Science and Engineering. In particular:

  • Master’s thesis (6 credits) and/or independent study courses may be part of a student’s general elective courses. 
  • Any of the 13 core courses may be chosen as general electives.
  • Graduate­level courses from outside of the department (at most two) may be chosen as general electives.
  • Any CS graduate course not included in the core areas may be chosen as general electives. 

These courses include (among others):

*The CS-GY 9223 general elective courses include: Programming for Big Data, Cloud Computing, and Artificial Intelligence for Games.

(see overview)