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商业分析理学硕士

Master of Science in Business Analytics

布兰迪斯大学

Brandeis University

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 have earned a bachelor's degree from a regionally accredited U.S. or accredited international institution. Three-year degrees that are equivalent to a U.S. bachelor's degree will be considered for admission. Unofficial transcripts from all post-secondary institutions attended are required (including study abroad, post-graduate work, etc.). Degree audits will not be accepted in lieu of official transcripts.

Successful applicants typically have a TOEFL iBT score of at least 100, a TOEFL ITP score of at least 627, IELTS score of at least 7.0, Duolingo English Test score of at least 130 or PTE Academic score of at least 68.
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  • 雅思总分:7
  • 托福网考总分:100
  • 托福笔试总分:600
  • 其他语言考试:PTE Academic score of at least 68.

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课程简介

商业分析理学硕士是为期一年的STEM全日制合格课程,旨在为学生提供数据分析知识,工具和技能,使其成为精通数据的管理人员。这些课程主要在白天在硅海滩中心的LMU Playa Vista校园举行,为学生提供了与当地商业团体互动的绝佳机会。学生将学习与业务分析和大数据分析相关的所有领域,包括数据管理,建模,编程,分析,可视化,数据挖掘,机器学习和集成策略,以分析大型,结构化和非结构化数据集以制定有效的业务决策。学生还将通过计划的基本经验来开发他们的问题框架,团队合作,项目管理和沟通技巧,以管理组织中的业务分析项
Advances in gathering and applying data are transforming all business sectors. The Brandeis MS in Business Analytics targets skills needed in data-intensive, high-demand industries, including consulting, e-commerce, finance, marketing and real estate.Ranked among the best U.S. universities by U.S. News and World Report. Located close to Boston, a multicultural hub of finance, technology and innovation.Learn statistical, programming, data visualization and econometric methods for analyzing data.All students participate in a company internship, consulting project or faculty-directed research.Study in a program that lets international students extend a 12-month post-graduate practical training experience by an additional 24 months.<br> <br>Companies are gathering more data than they know what to do with. The MSBA program will teach you how to organize and comb through all that new data with an eye toward innovative business applications.
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