国际学生入学条件
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.
展开 IDP—雅思考试联合主办方
雅思考试总分
6.0
了解更多
雅思考试指南
- 雅思总分:6
- 托福网考总分:60
- 托福笔试总分:160
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
Financial engineering (FE) is a highly interdisciplinary field that makes use of the theoretical developments in financial economics, applied mathematics, operations research, statistics and computer science. The broad and extensive applications of FE have shaped up the entire landscape of financial practice especially in derivative pricing, portfolio management, and risk control. These applications in turn have inspired new problems in FE. In recent years, with an upsurge of developments in artificial intelligence, machine learning and data science, study and applications of financial technology (aka FinTech) have rapidly emerged and become an integral and important part of FE. IEOR offers a thriving research environment and a critical mass in FE rarely to be found in a single university in the country. Research problems include, to name just a few, reinforcement learning in stochastic control, mean-field games, systemic risk, quantitative behavioral finance and principal-agent problems. The department also takes full advantage of its New York location, drawing on expert practitioners for seminars, conference participation, research collaborations and internships for students. Indeed, collaborations with industry go beyond New York, exemplified by the establishment of the new FDT Center for Intelligent Asset Management generously donated by a Hong Kong based FinTech company.
展开