数据分析理学硕士
Master of Science in Data Analytics

中佛罗里达大学

US

QS排名:593

  • 学历文凭

    Masters Degree

  • 专业院系

    计算机系统分析

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

One official transcript (in a sealed envelope) from each college/university attended.
Official, competitive GRE score taken within the last five years.
Resume/CV
Letters of recommendation (encouraged but not required)
A bachelor's degree from a regionally accredited U.S. institution or its equivalent from a foreign institution and a GPA of 3.0 or more (on a 4.0 maximum) in all work attempted while registered as an undergraduate student OR 3.0 GPA (or equivalent) or better in all work attempted while registered as an upper division student working for a baccalaureate degree, OR
A graduate degree or professional degree or equivalent from a regionally accredited U.S. institution or its equivalent from a foreign institution in a field related to the discipline of the program to which the student is applying.



A TOEFL computer-based score of 220 or 80 on the internet-based TOEFL (or equivalent score on the paper-based test) or 6.5 on the IELTS is required unless otherwise specified by the program.
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IDP—雅思考试联合主办方

雅思考试总分

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

数据分析理学硕士课程为学生提供了开发算法和计算机程序的能力,以便从大量数据中发现信息。这包括程序的体系结构,以及算法开发的技术细节。期望学生能够编写和维护能够有效利用尖端计算机技术的新颖计算机程序。参加该学位论文课程的学生在并行编程,机器学习,数据挖掘和网络科学领域拥有广泛的背景,同时专门研究数据分析实践的特定领域。成功完成该计划的学生将展示出从“大数据”中发现知识的广度和能力深度。
The Master of Science in Data Analytics program provides students with the ability to develop algorithms and computer programs for discovery of information from large amounts of data. This includes the architecture of programs, as well as technical details of algorithm development. Students are expected to be able to write and maintain novel computer programs that make efficient use of cutting-edge computer technology. Students in this nonthesis program receive a broad background in the areas of parallel programming, machine learning, data mining, and network science while specializing in particular areas of data analytics practice. Students successfully completing this program will have exhibited breadth as well as depth of capability involving discovery of knowledge from ''big data.''
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