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PhD in Big Data Analytics for Industrial Application

克兰菲尔德大学

Cranfield University

  • 学历文凭

    学历文凭

    Ph.D.

  • 专业院系

    专业院系

    Manufacturing

  • 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

A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in the Project element or equivalent with a minimum 60% overall module average.
the potential to engage in innovative research and to complete the PhD within a three-year period of study.
a minimum of English language proficiency (IELTS overall minimum score of 6.5).
Also, the candidate is expected to:

Have excellent analytical, reporting and communication skills
Be self-motivated, independent and team player
Be genuine enthusiasm for the subject and technology
Have the willing to publish research findings in international journals
TOEFL
TOEFL iBT (we accept TOEFL iBT, TOEFL iBT Home Edition and TOEFL iBT Paper Edition) - 92 total and minimum skill component scores of 20 reading, 20 listening, 21 speaking and 20 writing.
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  • 雅思总分:6.5
  • 托福网考总分:92
  • 托福笔试总分:160
  • 其他语言考试:PTE Academic UKVI - 65 overall and 62 in all skill components.

CRICOS代码:
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课程简介

This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens, unknown correlation, and other useful information for diagnosis and prognosis solutions which leads to enhance reliability, maintainability and readiness of the selected system. Big Data analytics has attracted intense interest from both academia and industry recently for its attempt to extract more useful information and knowledge from Big Data. Big Data analytics will help to develop more advance diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine leaning exists as the most promising technologies of big data analytics in industrial problems. The student will have the opportunity to work with experts in the data analytics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University.
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  • 在线/远程学习在线/远程学习

开学时间&学费

学费信息仅供参考,请与IDP顾问联系以获取详细信息

开学时间时长学费地点

关于克兰菲尔德大学

克兰菲尔德大学是一所著名的以研究生教育为重点的大学,在克兰菲尔德和什里文汉姆设有校区。该大学成立于1946年,前身为航空学院,于1969年获得大学地位,目前专注于科学、工程、技术和管理领域。克兰菲尔德的学生受益于大学无与伦比的行业合作伙伴关系、研究驱动型教育和职业发展机会。其独特的设施包括克兰菲尔德机场(全球仅有的几座由大学运营的机场之一)和克兰菲尔德大学科技园,该科技园拥有60多家创新型企业。克兰菲尔德大学致力于为学生提供职业发展机会,其毕业生就业率高达96%,这得益于大学与近1500家机构的良好合作关系,这些机构涵盖中小型企业以及空客、波音和联合利华等全球跨国公司。克兰菲尔德的学术领域涵盖航空航天、国防与安全、能源与可持续发展以及水资源等八个学科。大学提供授课型和研究型课程,师生比例为1:8,确保学生拥有高度个性化的学习环境,并与顶尖专家密切合作。获得克兰菲尔德大学的研究生学位,对于寻找具有竞争力且有意义的毕业生就业至关重要。

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