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数据分析理学学士

Bachelor of Science in Data Analytics

本特利学院

Bentley University

US美国

  • 学历文凭

    学历文凭

    Bachelor Degree

  • 专业院系

    专业院系

    Informational 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

Official high school transcript or GED score report.
We require an official transcript from all high schools you have attended, including your most recent grades at the time of your application.
Two letters of recommendation.
Submitted directly from the testing agency (SAT code: 3096, ACT code: 1783)
Included on the secondary school transcript
If English is not your first language, you will also need to submit official results from one of the following: Test of English as a Foreign Language (TOEFL), International English Language Testing System (IELTS), Duolingo, Cambridge English Assessment or Michigan English Test (MET).
IELTS - 7 (Sub Score Minimum Requirement - 6.5)
TOEFL Internet-based - 90 (Sub Score Minimum Requirement - 20)
TOEFL Essential - 10 (Sub Score Minimum Requirement Reading: 10, Writing: 10
Listening: 9.5 ,Speaking: 9)
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  • 雅思总分:7
  • 托福网考总分:90
  • 托福笔试总分:160
  • 其他语言考试:Duolingo - Overall 120-130 and Sub Score Minimum Requirement- Literacy (reading and writing) = 120, Conversation (listening and speaking) = 115, Comprehension (reading and listening) = 125, Production (writing and speaking) = 100

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课程简介

商业,科学,娱乐以及人文科学的各个领域都越来越受到数据驱动。数据分析专业的毕业生可以通过结构化和非结构化数据的定量决策,为毕业生创造增值的机会。随着越来越多的行业接受大数据和分析,数据科学,统计,编程,建模和数据挖掘等领域的技能变得越来越重要。通过数学,统计学和计算课程的组合–包括与R,Python和SQL进行的密集,动手操作–我们的数据分析专业毕业生不仅将了解关键概念,而且技术,但也会知道如何将其应用于现代商业世界。
The ability to work with numbers and data is critical to the modern workforce. Every area of business, science, entertainment and, increasingly, the non-profit sector, is becoming more data-driven. The Data Analytics major prepares graduates to add value to any organization through quantitative decision-making from both structured and unstructured data. As more industries embrace big data and analytics, skills in areas such as data science, statistics, programming, modeling and data mining are becoming more important. Through a combination of mathematics, statistics and computing courses--including intensive, hands-on work with R, Python and SQL--our Data Analytics graduates will not only understand key concepts and techniques, but will also know how to apply them and communicate results to the modern business world.
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