统计计算理学硕士-数据挖掘
Master of Science in Statistical Computing - Data Mining
  • 学历文凭

    Masters Degree

  • 专业院系

    统计

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

One official transcript (in a sealed envelope) from each college/university attended.
Official, competitive GRE or GMAT score taken within the last five years.
Resume.
Applicants not qualified for regular graduate status may be initially admitted to the university in non-degree-seeking status and later admitted to regular status once all deficiencies have been eliminated, although only nine hours of graduate course work taken as a non-degree-seeking student can count toward a graduate degree.
a GPA of 3.0 or more (on a 4.0 maximum) in all work attempted while registered as an undergraduate student

A TOEFL computer-based score of 220 or 80 on the internet-based TOEFL (or equivalent score on the paper-based test) or 6.5 on the IELTS is required unless otherwise specified by the program.
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雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:80
  • 托福笔试总分:160
  • 其他语言考试:NA
CRICOS代码:
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课程简介

数据挖掘专业是统计计算理学硕士,专注于数据挖掘及其在商业,社会和健康问题中的应用。统计计算MS程序中的数据挖掘轨迹着重于数据挖掘及其在商业,社会和健康问题中的应用。该课程特别适合那些完成了数学,统计学,经济学,商业或其他相关领域的本科课程并希望从事数据挖掘工作的个人。数据挖掘人员是统计学家,他们分析大量数据集以发现趋势和关联,并在商业,社会和健康等主题上做出合理的决策。数据挖掘人员是最令人垂涎​​的工作之一,因为对其的需求远远超过了该地区现有的合格人员数量。当前,数据挖掘行业的劳动力主要包括受过大学专科教
The Master of Science in Statistical Computing, Data Mining track focuses on data mining and its application to business, social, and health problems. The Data Mining track in the Statistical Computing MS program focuses on data mining and its application to business, social, and health problems. The program is particularly suited for individuals who have completed an undergraduate program in mathematics, statistics, economics, business, or other related fields, and wish to pursue a career in data mining. Data miners are statisticians who analyze massive data sets to uncover trends and associations, and make theoretically sound decisions on, for example, business, social, and health subjects. Data miners have one of the most coveted jobs, as the demand for them far exceeds the existing number of qualified persons in the area. Currently, the work force in the data mining industry consists mainly of individuals trained with post college education. To date, very few university degree programs exist for training students for such a large and growing industry in the United States.
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