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计算机科学理学学士-大数据管理和分析

Bachelor of Science in Computer Science - Big Data Management and Analytics

纽约理工大学

New York Institute of Technology

US美国

  • 学历文凭

    学历文凭

    Bachelor Degree

  • 专业院系

    专业院系

    Department of Computer Science

  • 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

You must have satisfactorily completed high school (secondary school) with at least a B average or a 3.00 grade point average (GPA) on a 4.00 scale
Copies of transcripts of all high school work, including college-level courses.
Mid-year and final grades will be required.
Proof of high school graduation.
Proof of English proficiency (TOEFL, IELTS, PTE, Duolingo English Test, or IB English scores).
Two letters of recommendation.
A 300 to 350 word essay describing your career goals in the major you applied for and how attending New York Tech would further those goals.
SAT/ACT scores are not required for international students. Please review our test-optional policy. If you do want to submit scores, NYIT SAT Code: 2561, NYIT ACT Code 2832.
If you or your agent are submitting documents by email or fax, then they are not considered official. Your application for admission will be considered for admission when we receive copies of these documents but official documents must be received in order for you to register for classes.

The following minimum scores required for full admission to graduate programs are:
IELTS score: 6.0
TOEFL (iBT) score: 79
Pearson PTE score: 53
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  • 雅思总分:6
  • 托福网考总分:79
  • 托福笔试总分:160
  • 其他语言考试:Duolingo English Test score: 105

CRICOS代码:
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课程简介

计算机科学理学学士学位使您在开发各种框架中的计算机应用程序时,能够具备创造力,好奇心,分析能力和面向细节的能力。您将完成一个庞大的项目,该项目将充分展示您的技术技能和知识,以及对经济,社会和道德的影响。大数据管理和分析的重点是大数据的管理和分析,并为学生提供深厚的分析技能,以设计和实施可以发现和解码相关信息的信息系统。课程涵盖各种主题,例如数据收集,数据组织,信息检索和数据挖掘。行业应用领域包括金融,犯罪,能源,政治,银行,国防和健康领域。将数学基础,算法原理和计算机科学理论应用到基于计算机的系统的建模和
Gain the technological and analytical skills you'll need to become a highly sought-after computer science professional trained to handle big data. The Computer Science, B.S. program with a concentration in Big Data Management & Analytics is a joint effort between IBM and New York Tech that will prepare you for a role understanding and managing one of the world's most important assets-big data. You'll study a variety of topics such as data collection, data organization, information retrieval, and data mining. You'll also complete lab exercises that use IBM InfoSphere BigInsights and IBM INfoSphere Streams.
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