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Doctor of Philosophy in Computer Science and Engineering

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 Computer Science and Engineering

  • 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

Admission to both the M.S. and the Ph.D. in computer science and engineering requires students to submit a statement describing your research interests and letters of recommendation. TOEFL or IELTS scores are also required for students from non-English speaking countries. GRE scores are recommended, but for Fall 2021 applications, they are not required.
minimum undergraduate GPA of 3.25 for applicants without an M.S. degree or a minimum undergraduate GPA of 3.0 for applicants with an M.S. degree.
For international applicants to both the M.S. and Ph.D. program: A minimum TOEFL of 80 or IELTS of 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

The Ph.D. in computer science and engineering is designed for students who want to pursue original research within computer science and engineering. The Ph.D. program prepares graduates for careers in academia or for research-oriented positions within industry.<br><br>The Department of Computer Science and Engineering at the University of Nevada, Reno offers an in-depth, cutting-edge curriculum for those graduate students seeking the degree of Doctor of Philosophy in Computer Science and Engineering. Doctoral students are given the opportunity to focus on a specific area in computer science and engineering by taking advanced courses and becoming significantly involved in many aspects of original research, advancing scientific knowledge in their field of specialization.<br><br>Program Objectives/Student Learning Outcomes<br><br> An ability to apply computer science and engineering research and theory to advance the art, science, and practice of the discipline.<br> An ability to design and conduct experiments as well as to analyze, interpret, apply, and disseminate the data.<br> An understanding of research methodology.
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