
Graduate Programmes » MSc in Mathematics (by Coursework) » Current Coursework Students
GRADUATION REQUIREMENTS:
Graduation requirements for respective track can be found below:
Other Fee Components
NOTES
Please refer to the pages below for details.
Students enrolled in either the Track 1 or Track 2 pathway may be allowed to substitute up to two MA-courses with approved courses offered by other departments to fulfill the graduation requirements. For courses with matching levels coded as QFxxxx and DSAxxxx request for permission is not required. For other courses, students must seek permission by writing to the Department before the start of course registration exercise.
Procedure:
* for newly admitted students without NUS transcript only.
Students are required to apply for Leave of Absence (LOA) if they have to be away during their candidature or are unable to read any modules in any semester.
Application for leave of absence should be submitted prior to the start of the semester. If a student applies for LOA after the second instructional week of any semester, he/she will be liable to pay fees for the entire semester even if he/she did not register for any modules.
All leave applications are to be submitted online. Students who are absent without leave are subject to disciplinary actions.
Graduate students who have met their programme’s graduation requirements are not required to file for graduation as the department will be doing this for you. Please refer to the links below to obtain information on degree conferment, degree scroll/official transcript collection/delivery.
Many of the basic elective courses are continuations for the undergraduate courses. We suggestion you plan carefully and use your first year for preparation.
To help your preparation, we link some 3000 or 4000 level courses with their corresponding 5000 level ones. The courses in the bracket at least provide some basic background in the subject, even though they are not officially required as prerequisites.
The five courses below are intended to be self-contained and aiming at students with three-year basic training in mathematics, financial mathematics or data sciences.