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Master of Science 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

    Masters Degree

  • 专业院系

    专业院系

    College of 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

Applicants to the graduate program should have a bachelor's degree in engineering, mathematics or science and have experience that includes the equivalent of a computer science and engineering minor.

  • A minimum undergraduate GPA of 3.0
  • A minimum TOEFL of 80 or IELTS of 6.5 for international applicants

Application deadline: January 15 for Fall semester; August 15 for Spring semester.

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  • IDP—雅思考试联合主办方

  • 雅思考试总分

    6.5

  • 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:
申请截止日期: 请与IDP联系 以获取详细信息。

课程简介

A master's degree in computer science and engineering provides in-depth knowledge of theory and design of computing systems. The degree prepares students for advanced jobs in industry or for further study and research as part of a Ph.D. program.<br>The Department of Computer Science and Engineering at the University of Nevada, Reno offers an integrated course of study covering the theory, implementation and design of information, computation, and communication systems for those seeking the degree of Master of Science in Computer Science and Engineering. Graduate students seeking the degree of Master of Science are given the opportunity to focus on a specific area in computer science and engineering and perform research through the Thesis option (Plan A) or to study several different subjects in computer science and engineering through the Courses-Only option (Plan B). Students choosing the Thesis option are given the opportunity to become involved in one or more of the following broad research areas:<br>Cybersecurity and Network Systems, Data and Software Systems, Intelligent and Autonomous Systems<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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