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Master of Science in Data Analytics and Visualization

普瑞特艺术学院

Pratt Institute

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

  • 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 hold a bachelor's degree from an accredited college or university. The applicant must have a superior scholastic record or otherwise give evidence of ability to perform work on the graduate level. Applicants are expected to offer evidence of maturity and leadership potential for the profession. All applicants must apply using the online application and include:

transcripts of all previous postsecondary education,
a current r'sum/CV,
two letters of recommendation from academic or professional sources and,
a statement of purpose (no more than 500 words) describing long-range goals and interest in the chosen discipline and reason for applying to the program. The Admissions Committee views the statement of purpose as a means of gauging an applicant's fit in the program, how intellectually curious they are about the world around them, and how theyd contribute to the diversity of the student population at the School of Information. The statement is also a way for the Committee to learn more about an applicant beyond what is indicated on a resume or transcript. Please tell us why you believe the program is right for you and how/why it aligns with your long term goals and professional aspirations. Please do not include details that can be found in your resume.
A TOEFL of 82 (internet and home test), TOEFL ITP Plus for Mainland China of 553, IELTS of 6.5, Cambridge English score of 176, or a PTE of 53 is required for international students. Students who are not international but whose first language is not English must submit the TOEFL, IELTS, or PTE.
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  • 雅思总分:6.5
  • 托福网考总分:82
  • 托福笔试总分:160
  • 其他语言考试:PTE of 53 is required.

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课程简介

Youll learn to transform raw data into meaningful information through a combination of statistics, technology, research, and design.<br>The Master of Science in Data Analytics and Visualization (DAV) program addresses the growing need for analysts, researchers, developers, designers, mapmakers, usability experts, and other data professionals. Drawing on the School of Information's strengths in information science and human-computer interaction, the program prepares students for work across the full life cycle of data, from data acquisition, manipulation, and storage to statistical analysis and interpretation, and dissemination of data artifacts through visual and narrative means. The DAV program creates well-rounded data professionals who have strong statistical and technology skills combined with strengths in research, communication, and design, allowing them to ask sophisticated research questions around data, convey information effectively in visual and narrative means, and design intuitive, meaningful, and engaging experiences of data. Students learn to effectively use tools such as Python, R, D3, Tableau, and GIS applications, as well as discuss critical and ethical implications of data.
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