国际学生入学条件
Unofficial transcripts are accepted. Obtain your transcripts, scan them, and submit the scanned versions online. Submit transcripts from any university where you studied. If applicable, a score of at least 90 on the internet-based TOEFL, 600 on the paper-based TOEFL, or 7.0 on the IELTS is required. This is a minimum requirement and no exceptions will be made.
IEMS does not require, and will not accept, GRE scores. Admissions into the PhD program requires applicants to have a good academic record from a top-tier college or graduate program. It is difficult to give precise guidance about what this means because the grading schemes, curricula, and selectivity of different colleges vary greatly.
We concentrate on the following characteristics:
Grades in mathematics, industrial engineering, and computer science are most important.
At a top-tier institution, a grade point average of at least 3.7 out of 4.0 or 90 out of 100 is desirable.
Most of our students were in the top 2% - 10% of their classes at top-tier institutions.
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雅思考试总分
7.0
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- 雅思总分:7
- 托福网考总分:90
- 托福笔试总分:600
- 其他语言考试:NA
课程简介
The PhD program in industrial engineering and management sciences offers students the opportunity to use skills in computing, mathematical analysis and modeling, and economic analysis to produce research that helps people improve the efficiency, quality, and potential of their organizations so that those organizations can fulfill their mission.<br><br>Although many of our PhD students have a bachelor's degree in industrial engineering, the majority do not. The program has attracted students of applied mathematics, computer science, economics, finance, mathematics, physics, statistics, and most engineering disciplines, ranging from automation and control to systems engineering. The program aims to produce researchers who combine strength in core methodologies of operations research (e.g., optimization, stochastic modeling and simulation, statistics, and decision analysis) with the ability to apply them to yield practical benefits in solving real-world problems.
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