国际学生入学条件
Hold a bachelor's degree (or equivalent) from a recognized academic institution with degree standards equivalent to those of the University of California
A minimum cumulative GPA of 3.0 or equivalent from the undergraduate institution is required. Please upload copies of transcripts for each college and university attended with your online application. Transcripts that are scanned and uploaded to the site are considered unofficial. We will conduct the initial review process with unofficial transcripts, however, if you are selected for an interview, you will need to provide official copies of transcripts from your degree issuing institution. Official transcripts must be received before a final admissions decision can be granted.
Three letters of recommendation are required.
All applicants are required to take either the GMAT or GRE.
We require a minimum score of 600 for the paper-based test or 100 for the Internet-based test. TOEFL scores are valid for up to two years from your test date.
IELTS, the minimum required score for admission is 7, with a score of no less than 6 on any individual module.
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:100
- 托福笔试总分:600
- 其他语言考试:PTE minimum required score for admission is 53.
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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
运营和决策技术领域研究业务流程如何运作,以及如何使用高级分析在各种业务环境中做出最佳或接近最优的决策。随着我们的世界变得越来越数字化,将业务流程自动化并将其链接到人类系统的技术所产生的数据比以往任何时候都更多— —更大的数据— —。我们使用这些数据来发现推动卓越运营的基本业务关系,建立可传达核心系统动态的分析模型,说明可能并非立即显而易见的行动所产生的后果,并通过建议一个或多个解决方案来开发可帮助决策者的计算方法-最佳解决方案。
The Operations and Decision Technologies area studies how business processes function, and how to employ advanced analytics to make optimal or near-optimal decisions in a variety of business contexts. As our world becomes increasingly digital, the technologies that automate business processes and link them to human systems generate more data bigger data than ever before. We use this data to uncover the fundamental business relationships that drive operational excellence, build analytical models that communicate core system dynamics, illustrate consequences to actions that may not be immediately obvious, and develop computational methods that assist decision-makers by suggesting one or more near-optimal solutions. Courses offered by the Operations and Decision Technologies area draw on cutting-edge theory and research. Methodological topics include optimization, simulation, statistics, predictive analytics, decision theory, collaborative and non-collaborative game theory, networks, queueing theory, stochastic modeling and dynamic control. Application areas include supply chain management, logistics, inventory management, revenue management and pricing, sustainability and reverse supply chains.
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