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Graduate Certificate in Data Mining

中央密西根大学

Central Michigan University

US美国

  • 学历文凭

    学历文凭

    Graduate Certificate

  • 专业院系

    专业院系

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

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国际学生入学条件

a bachelor's degree or equivalent from an accredited university,
a minimum undergraduate GPA of 3.0,
a minimum of three credits of statistics, and

Test of English as a Foreign Language (TOEFL): A score of 500 PBT/61 IBT is required for admission with stipulations or 550 PBT/79 IBT for regular admission.International English Language Testing System (IELTS) Academic Module: A score of 5.5 required for admission stipulations or 6.5 for regular admission.
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  • 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:Pearson Test of English, Academic Module: A score of 44 for admission with stipulations or 53 for regular admission.

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课程简介

The Graduate Certificate program in Data Mining is a one-year program designed to give students a comprehensive training in basic foundation, advanced knowledge and applications of Data Mining. It's suitable for students in diverse disciplines who want to extend their knowledge and skills. The program is provided through CMU's Department of Statistics, Actuarial and Data Sciences. The Graduate Certificate program includes courses from Mathematics, Computer Science and Geographic Information Sciences.<br><br>The department offers graduate teaching assistantships to graduate students. Teaching assistantships are determined by the graduate committee based on students' academic credential and previous teaching performance.<br><br>Students are also encouraged to make a poster presentation at the annual university student exhibition. Outstanding projects are recommended for poster competition organized by SAS Inc. Some of the student projects may also be recommended for conference presentations or for journal publications.
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