统计学理学硕士
Master of Science in Statistics

蒙特克莱尔州立大学

US

QS排名:

  • 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

To be eligible for admission into this program, a student must have completed the following six undergraduate courses with a minimum GPA of 2.75 on a 4.0 scale: Calculus I, II and III (equivalent to the Montclair State University courses Math 122, Math 221 and Math 222) Linear Algebra (equivalent to the Montclair State University course Math 335) Probability (equivalent to the Montclair State University course Math 340) Fundamentals of Modern Statistics I (equivalent to the Montclair State University course Stat 330) The Graduate School requires the equivalent of a U.S. bachelor's degree in order to be eligible to apply for a graduate program
Transcript: One from each college attended.
Letters of Recommendation: Two.
A minimum TOEFL score of at least 83 on the internet-based test (iBT) or 62 on the paper-based test (pBT).
For IELTS test takers, the minimum required score is 6.5.
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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:83
  • 托福笔试总分:160
  • 其他语言考试:Duolingo English Test minimum Score – 105.
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课程简介

统计硕士课程是为有兴趣成为统计学从业人员而接受统计方法培训的学生而开发的。该方案强调统计的基础和概念以及统计的新领域和发展中领域。尽管强调了统计科学的应用,但也提供了理论基础。具体来说,学生将为从事统计实验的设计和分析,统计模型的开发和分析,数据分析技术以及相关的计算方法以及统计计算方面的专业工作做好准备。该课程为33个学分。
The MS in Statistics has been developed for students interested in becoming practitioners of statistics, who are trained in statistical methodology. The program emphasizes the foundations and concepts of statistics as well as the new and developing areas of statistics. Though the applications of statistical sciences are emphasized, the theoretical foundations are presented as well. Specifically, students are prepared for professional work in the design and analysis of statistical experiments, development and analysis of statistical models, data analytic techniques and the associated computational methods, and statistical computing. Through the accessibility of computers and the availability of powerful statistical software to analyze huge data sets, the use of statistical methods has now become quite widespread in many industries. Students and faculty in the department have access to state-of-the-art interactive computing environments for data analysis and data graphics. This program also offers MS students the opportunity to obtain applied experience by becoming involved in the data collection, analysis and interpretation of ongoing projects. In addition, our proximity to the pharmaceutical industry permits students the exciting option of an applied industrial experience, working under the supervision of a practicing statistician.
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