PhD in Industrial Engineering and Operations Research- Financial Engineering and Risk Management in New York United States | Columbia University

Columbia University | New York United States
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Qualification
Doctor of Philosophy
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
USD 55,184
Attendance
Full-time
Full-time Duration
36 months

Financial engineering (FE) is a multidisciplinary domain that leverages advancements from financial economics, applied mathematics, operations research, statistics, and computer science. Its wide-ranging applications have transformed financial practices, particularly in derivatives valuation, investment strategies, and risk mitigation. These real-world implementations continue to generate fresh challenges for FE research. Recently, the rapid growth of artificial intelligence, machine learning, and data analytics has propelled financial technology (FinTech) to become a vital component of FE. IEOR provides a dynamic research ecosystem with unparalleled FE expertise rarely matched by other institutions. Current investigations span diverse areas including stochastic control through reinforcement learning, mean-field game theory, systemic risk analysis, quantitative behavioral finance, and principal-agent models. The department capitalizes on its New York presence by engaging industry professionals for seminars, conferences, research partnerships, and student internships. These industry connections extend globally, as demonstrated by the newly founded FDT Center for Intelligent Asset Management, established through generous support from a Hong Kong-based FinTech firm.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 6.0

Qualification Requirements

The IEOR PhD program is designed for students with an interest in pursuing advanced studies in Industrial Engineering and Operations Research. Prospective applicants come from a diverse set of backgrounds including Math, Applied Math, Statistics, Computer Science, Electrical Engineering and Operations Research.
Students entering the doctoral program must demonstrate proficiency in the following areas: Real Analysis, Linear Algebra, Probability and Statistics.
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.
International applicants or applicants whose undergraduate degree was received in a country in which English is not the official and widely spoken language must submit the following additional requirements with the application for admission:

1. Test of English as a Foreign Language (TOEFL), International English Language Testing System (IELTS) or Pearson Test of English (PTE Academic)

2. Translation of the official transcript(s) and degree/diploma certificate(s) if the institution(s) attended does not issue transcripts in English. The translation must be conducted by a reputable service provider.

Tuition USD 55,184
New York City, NY, United States
Type
Private
Degrees offered
Bachelor's Degree

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