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About this position
All first year doctoral students are required to take four core courses in the following sequence:
Fall
IEOR E6613: Optimization I (4.5 credits)
IEOR E6711: Stochastic Models I (4.5 credits)
Spring
IEOR E6614: Optimization II (4.5 credits)
IEOR E6712: Stochastic Models II (4.5 credits)
The department strongly encourages students to take CSOR W4231: Introduction to Algorithms in Fall. (This course can be waived for students who have taken a similar course earlier.)
In addition to these 4 core courses, each PhD student must take 4 additional PhD level courses (possibly in other departments) during the course of the PhD. Research credits (IEOR E9101) do not count towards this requirement. It is important to select courses you find interesting while considering your background and in consultation with your academic advisor. Students can consider courses from other departments including mathematics, computer science, statistics, economics, and decision risk and operations.
Funding
Tuition and Stipend
The IEOR Department provides tuition and stipend support for all PhD students for at least four years, usually extended to fifth year if needed, provided satisfactory progress is made. This support is provided in the form of a Fellowship, Research Assistantship or a Teaching Assistantship. The department encourages students to seek outside funding whenever possible (including National Science Foundation Graduate Fellowships).
Travel and Professional Development
IEOR PhD students are reimbursed for travel to conferences or professional development up to $1,000 per fiscal year. Students may petition for an additional $500 of departmental support once per fiscal year.
Requirements
The basic requirement for admission as a graduate student is the bachelor's degree received from an institution of acceptable standing. Ordinarily, the applicant will have majored in the field in which graduate study is intended, but in certain programs preparation in a related field of engineering or science is acceptable. The applicant will be admitted only if the undergraduate record shows promise of productive and effective graduate work.
The Master of Science (MS) degree is required for admission into the PhD and EngScD degree programs. A student who holds an appropriate bachelor's degree in engineering may apply for admission to either the MS only or MS leading to PhD program. A student who has not already earned an MS degree and is looking to pursue a doctoral degree should apply for admission to the MS/PhD track program, with the exception of the Computer Science PhD program. All doctoral applicants to the Computer Science Department should apply for admission to the PhD program, regardless of whether they have completed an MS degree or not. Students enrolled in the MS/PhD program are considered doctoral students, and are eligible to receive equivalent funding. More information about the doctoral degree can be found in the bulletin.
Consideration for admission will be based not only on the completion of earlier courses of study, but also upon the quality of the record presented and upon such evidence as can be obtained concerning the candidate's personal fitness to pursue professional work.
How to apply
https://www.gradengineering.columbia.edu/graduate-admissions/application-requirements
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