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Master of Science in Applied Statistics and Analytics

中央密西根大学

Central Michigan University

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

    Department of Statistics, Actuarial and Data Sciences

  • 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 must meet all CMU Graduate Studies admission requirements. International students should take note of any special admission considerations required by the Office of Graduate Studies, including TOEFL requirements.
Applicants must have completed a minimum of 12 semester hours of mathematics and/or statistics courses that include the following: MTH 133 (Calculus II) or the equivalent, one course in linear algebra, and one course in statistics or probability. A grade point average of 3.0 in mathematics and statistics course work is required.
Applicants must submit a Statement of Purpose of at least 100 words and not to exceed two pages. The Statement of Purpose should explain their relevant academic and professional experiences, discuss motivation for applying to the program, and describe their goals after completing the program.
A minimum cumulative undergraduate GPA of 2.7.
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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 (PTE) score of 53.

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课程简介

In today's data-driven world, if you can analyze data and unlock insights, your talents are in high demand. You can join the fast-growing field of data champions with a master of science in applied statistics and analytics. Learn to take raw numbers, mine insights and see your career take off. Gain the data skills to thrive in this dynamic field.<br><br>Transform numbers and data into real-world insights. The master's program in applied statistics & analytics provides you with advanced knowledge and real-world applications in data science. Youll also learn valuable teamwork and presentation skills that are essential in the workplace.<br><br>We offer several sequences of coursework, including data management and programming, data mining, predictive modeling, big data analytics and applied statistics.<br><br>Most of the courses require a semester-long research project. You are encouraged to exhibit your projects at CMU's Student Research and Creative Endeavors Exhibition. Outstanding projects are recommended for international project competitions organized by the SAS Institute. In previous years, several student projects have won the competitions.
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