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.
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雅思考试总分
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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
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申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
The goal of operations management (OM) is to leverage mathematical models, algorithms, and analysis tools to understand and optimize key operations problems. Examples include the scheduling of appointments at a healthcare clinic, supply chain planning for an online retailer, energy management for an electrical grid, matching supply and demand in a sharing economy, designing a product assortment on an e-commerce website, and last-mile delivery for on-demand services. When data is readily available and used to address these types of problems, this is often referred to as business analytics (BA). Generally, OM and BA can rely on the use of many mathematical tools such as convex optimization, stochastic processes, mechanism design, machine learning, dynamic programming, and combinatorial optimization. The goal is to not only provide insightful and practical solutions, but to also provide a theoretical justification for their success. Our faculty students often collaborate with companies through the Data Science Institute and the Columbia Business Analytics Initiative. Doctoral students working in this area often go on to work as faculty at top business schools or at companies such as Amazon, Uber, and Airbnb.
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