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Doctor of Philosophy in Industrial Engineering - Advanced manufacturing and industrial AI

威斯康星大学麦迪逊分校

University of Wisconsin - Madison

US美国

  • 学历文凭

    学历文凭

    Ph.D.

  • 专业院系

    专业院系

    Department of Industrial and Systems Engineering

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

Applicants from any discipline that provides foundations for research in Industrial and Systems Engineering (ISyE) topics are encouraged to apply. For example, applicants may come from industrial, electrical, or mechanical engineering, or mathematics, statistics, computer science, psychology, or economics.
A bachelor's degree from a regionally accredited U.S. institution or a comparable degree from an international institution is required.
A minimum undergraduate grade-point average (GPA) of 3.00 on the equivalent of the last 60 semester hours (approximately two years of work) or a master's degree with a minimum cumulative GPA of 3.00 is required. Applicants from an international institution must demonstrate strong academic achievement comparable to a 3.00 for an undergraduate or master's degree.
Minimum TOEFL requirement- 92 internet (iBT), 580 paper-based test (PBT)
Minimum IELTS requirement- 7.0
Minimum IELTS Indicator requirement- 7.0
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  • 雅思总分:7
  • 托福网考总分:92
  • 托福笔试总分:580
  • 其他语言考试:Minimum Duolingo English Test requirement- 125

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课程简介

The success of any manufacturing company depends on its ability to respond to factors impacting a host of areas, from product development to production scheduling to logistics coordination. Due to the rapid development of Internet of Things technology and the cloud computing platform, more and more data from different sources are becoming available in real time, which creates unprecedented opportunities in advanced manufacturing and industrial artificial intelligence (AI). Advanced manufacturing and industrial AI researchers at UW-Madison have developed data science methodologies, computer-aided tools, and experimental testbeds to design, analyze and improve manufacturing and production systems, efficiency, yield, supply chain, and product quality.
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