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工商管理硕士-数据分析

Master of Business Administration - Data Analytics (STEM-certified)

纽黑文大学

University of New Haven

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

Official university transcripts and proof of bachelor's degree completion. An explanation of your university grading system must also be provided along with your transcripts. Two Letters of Recommendation. A Statement of Purpose. A resume or curriculum vitae.

TOEFL: 80
IELTS: 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:PTE: 53

CRICOS代码:
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课程简介

该大学的全日制MBA课程是康涅狄格州仅有的两个提供集中课程的课程之一,在全美只有不到30个课程联邦政府通过STEM(科学,技术,工程和数学)认证的产品,使您既可以通过严格的课程掌握新技能,又可以通过实习和实际学习机会积累经验,从而使您精益求精。对于刚完成本科学历的人或希望直接从大学毕业后继续学习的人来说,我们的课程是一个不错的选择。该计划的时间表允许学生在12个月之内完成课程,满足那些符合免除三门商业基础课程标准并承担12学分的工作量的人。不符合豁免标准的学生可以在不到两年的时间内完成课程。
The University's full-time MBA program, which is one of only two in Connecticut – and less than 30 across the U.S. – that offer concentrations that are STEM (science, technology, engineering, and math) certified by the federal government, enables you to both master new skills through rigorous coursework and build a portfolio of experience through internships and real-world learning opportunities that will prepare you to excel.<br>Our program is a great choice for those who've recently completed an undergraduate degree or who are looking to continue their education straight out of college. The program's schedule allows for students to complete the program in as few as 12 months for those who meet the criteria to waive the three business foundation courses, and carry a 12-credit hour load. Students who do not meet the waiver criteria may complete the program in less than two years.<br>This concentration provides students with a technical awareness of the opportunities needed to enhance business operations. It provides the tools necessary to collect, identify, and understand patterns that allow the organization to make informed decisions consistent with its mission. This is especially true with the advent of Big Data and increasingly sophisticated computing techniques used to mine it. With a specific focus on the application of mathematical statistics to the description, analysis, and forecasting of business data, the concentration features the analysis of data from multiple firm sources such as marketing, finance, human resource management, etc. The R-programming language is a central part of the concentration's design.
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