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商业分析理学硕士

Master of Science in Business Analytics (MSBA)

萨福克大学 - INTO USA

INTO Suffolk University Boston

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

    Big Data and Business Analytics

  • 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

Resume
Unofficial transcripts of all post-secondary work. Admitted students enrolling in the program will need to have official transcripts, including proof of degree conferral, on file prior to their first class

Goal Statement (essay)

Reference/Recommendation

International English Language Testing System A minimum score of 6.5 (with no subscore below 6.0)

Duolingo. A minimum score of 110 is required to be considered for full admission, along with the following subscores: Literacy: 110, Conversation: 100 Comprehension: 120 Production: 85
TOEFL iBT - 80 (with no subscore lower than 17)
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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:PTE Academic (Pearson Test of English) - A minimum score of 65 is required

CRICOS代码:
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课程简介

该计划为研究生提供了在大数据世界中作为业务决策者成功的工具,该工具围绕严格的核心课程而设计,强调数据管理和跨业务学科使用的分析方法。学生可以根据自己的选择灵活地强调数据管理或方法。它还包括一组灵活的选修课和顶点经验,使学生可以强调特定行业或学科的深度,例如会计,医疗保健,金融,供应链,能源等。
Gain the technical competencies to analyze and manage data through a business lens with Suffolk's Master of Science in Business Analytics (MSBA) program. Understanding data is essential to making the right decisions in business. That's why our MSBA program gives you the training, tools, and experience you need to hit the ground running and succeed in this booming sector. Whether youre an engineer, computer programmer, or other high-tech professional or youre looking to round out your business or financial experience with increased technical analytics skills our balanced approach towards business analytics and data management will help you advance your career. Through our comprehensive MSBA program, youll study analytics through a business context and learn how to manage and create projections with stored data sets. Youll graduate ready to make high-level, data-driven determinations across a wide range of industries, as well as communicate analytic information to non-technical business leaders and stakeholders.
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