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Doctor of Philosophy in Statistics and Data Science

内华达大学雷诺分校

University of Nevada Reno

US美国

  • 学历文凭

    学历文凭

    Ph.D.

  • 专业院系

    专业院系

    Department of Mathematics & Statistics

  • 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

Undergraduate/Graduate transcripts from previous institutions (unofficial transcripts uploaded through the application portal are sufficient for admissions decisions, but then official transcripts must be sent to the Graduate School before admission is finalized)
GRE Recommended but not required for applicants through Spring 2025
Official Duolingo, TOEFL, IELTS, Pearson, or Cambridge English exam scores if your educational history is from a non-English speaking country. For more information, see Graduate admission requirements for interational students.
Three (3) letters of recommendation
Statement of Purpose
Curriculum Vitae
Minimum undergraduate grade point average (on a 4.0 scale):
2.75 for a master's degree
3.0 for a doctoral degree

TOEFL: 550 (paper) or 79 (internet)
IELTS: 6.5 (academic version)
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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 (PTE): 59, Cambridge: 176, Duolingo: 105

CRICOS代码:
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课程简介

The Department of Mathematics and Statistics offers a doctoral program in Statistics and Data Science to provide training in the fundamental methods and concepts of modern statistics and the emerging statistical area of data science. The program emphasizes interdisciplinary collaborative research, which is intrinsic to statistics and data science. The program builds research and computational skills that position students to be competitive in pursuing careers at academic institutions, pharmaceutical companies, research institutions, corporations, government agencies, and as private consultants.<br>Students will:<br>Develop the advanced computational skills necessary to solve applied problems involving data.<br>Attain a deep understanding of the theory of statistics and data science sufficient to critically evaluate research done by others.<br>Demonstrate the ability to do independent research and to communicate the results of this research, both orally and in writing.<br>Acquire breadth of knowledge and the skills necessary to successfully collaborate or consult in a professional setting.
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