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Master of Science in Computer Graphics Technology - Information Visualization

普渡大学

Purdue University

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

    Department of Computer Graphics Technology

  • 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 are ordinarily expected to hold a bachelor's degree from a college or university of recognized standing prior to registration, and should have achieved a grade point average of 3.0 on a 4.0 scale, or higher.
TOEFL iBT - 80 (Minimum Scores: Writing 18, Speaking 18, Listening 14 and Reading 19)
TOEFL PBT (overall score is no longer reported) - Reading 19, Listening 14 and Writing 18
IELTS - An overall band score of 6.5 is required for admission with the following minimum section requirements:
Reading 6.5, Listening 6.0, Speaking 6.0 and Writing 5.5
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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

Data Visualization is the art and science of graphically representing data through computer for the purpose of amplifying human cognition. It is the iterative process of transforming raw data into visual representations that provide insights into what the data represents. Insight enable the analysis of data, informed decision making, discovery of new knowledge, and the explanation of the scenario behind the complex data. Insight enables storytelling through and about data.<br><br>We live in a data-rich, data-enabled world. Understanding the data visualization process affords flexibility to work in any industry, discipline, every major, every sector in society where there is data to be analyzed and visualized. If you have the interest, the motivation, the ability to think creatively and broadly, you are only limited by your imagination.<br><br>Data is everywhere. There is a demand for persons with data visualization skills in every discipline and industry. Having the skills to transform data into something more meaningful and the capacity to represent data in a visual way affords flexibility to go beyond being a generator and user of data to being a person who can make sense of data and present it in a visual way for broader audiences.
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