Doctor of Philosophy in Industrial Engineering
  • 学历文凭

    Ph.D.

  • 专业院系

    工业工程

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Applicants are ordinarily expected to hold a bachelor’s degree from a college or university of recognized standing prior to registration, and should have achieved a grade point average of 3.0 on a 4.0 scale, or higher. Three-year Bologna bachelor's degree recipients are eligible for admission.

Cumulative Grade Point Average from most recently conferred undergraduate, graduate, or professional degree:

3.0 or equivalent (A=4.0)
3.2 or equivalent (Recommended; A=4.0)

Master's Degree Completion (Recommended) with Grade Point Average:

3.5 or equivalent (Recommended; A=4.0)

TOEFL: Internet-Based Test (IBT): Minimum Overall Required Score: 88

Minimum section requirements:

Reading: 20
Listening: 20
Speaking: 20
Writing: 20

TOEFL: Paper-Delivered Test: Minimum Overall Required Score: No minimum

Minimum section requirements:

Reading: 19
Listening: 14
Writing: 18

IELTS (Academic Module): Minimum Overall Required Score: 7.5

Minimum section requirements:

Reading: 6.5
Listening: 6.0
Speaking: 6.0
Writing: 5.5

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IDP—雅思考试联合主办方

雅思考试总分

7.5

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  • 雅思总分:7.5
  • 托福网考总分:88
  • 托福笔试总分:160
  • 其他语言考试:NA
CRICOS代码:
申请截止日期: 与IDP联系 以获取详细信息。

课程简介

Purdue's School of Industrial Engineering continues to offer one of the nation's preeminent PhD programs, providing research concentrations in human factors, manufacturing, operations research, and production systems. PhD students are encouraged to participate in multi-disciplinary studies and multi-cultural educational efforts in one or more of our diverse research areas, including: Aviation Human Factors, Digital Human Modeling, Distributed Control, Energy Systems, Ergonomics, E-work, E-business, E-service Systems , Financial Engineering, Global Systems, Group Work and Communications, Health Care Engineering, Human-Robot Interaction, Intelligent Systems, Information Visualization, Machining Processes, Materials Processing, Nano-Manufacturing, Nonlinear Optimization, Safety Engineering, Service Engineering and Simulation Optimization.
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  • 在校学习

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64

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