国际学生入学条件
To be eligible for graduate study, students must satisfy the following minimum requirements:
Have a minimum 3.0 (on a 4.0 scale) grade point average (GPA) in junior- and senior-level work and in any graduate work already completed.
Have completed GRE
TOEFL or IELTS (international students only)
Submit official transcripts from previous colleges or universities
Statement of Purpose - Make sure you upload your Statement of Purpose and Resume (or CV) when you come to those sections on the application. Your Statement of Purpose should be a summary of your academic and professional goals, as well as a description of the research work you have done in your past, and what research work you plan to do as a graduate student at UT. Please make sure these documents are edited to your liking before you upload them, for they cannot be deleted once they have been uploaded to your application.
Three Letters of Recommendation - Make sure you enter the valid e-mail address of each referee you want to submit a recommendation for you when you get to that section on the application. Please use the university domain address for each professor you are requesting a reference. Once you have completed this section of the application, a notice will be sent to each referee showing them where to go to complete a recommendation for you using our online system. Three is only the minimum number of recommendations required to accompany your application. You are welcome to add more.
TOEFL: 79 on the Internet-based test (iBT)
IELTS: An overall band of 6.5 on the Academic Examination
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IDP—雅思考试联合主办方

雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:79
- 托福笔试总分:550
- 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
The Operations Research and Industrial Engineering (ORIE) graduate program in the Cockrell School of Engineering at The University of Texas at Austin is a growing, nationally recognized program that fosters a community of collaborative and interdisciplinary faculty and graduate students who focus their research in areas that will make a positive impact on society and its complex systems. ORIE faculty members span disciplines and departments on the UT Austin campus, bringing experience and expertise in areas such as applied mathematics, operations research, decision theory, control and systems engineering, economics, statistics, computer science and finance.<br>At its core, ORIE encompasses a broad range of analytical methodologies and techniques to assess and improve decision-making in a variety of complex systems. The discipline sits at the intersection between humans and the natural and engineered systems they interact with across industries. It's process-based and data-driven, with an eye toward helping real people make better choices.<br>Optimization is broadly focused on the identification of the best solution to complex decision problems that can be represented mathematically. It deals with problems that are complex because there are a large number of alternatives (e.g., scheduling). In some cases, uncertainty is also included and optimization may seek to identify alternatives that perform well across a range of uncertain scenarios.
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