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人力资源管理硕士-人力资源分析

Master of Human Resource Management - HR Analytics

罗格斯大学新布朗斯维克分校

Rutgers, The State University of New Jersey - New Brunswick

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

To apply to the MHRM program, you will need to submit the following:

Resume
Official transcripts for all college education
A personal statement
Three letters of recommendation (preferably at least one academic reference)
Our minimum standard for consideration for admission is a 3.0 grade-point average (GPA) and Graduate Record Exam (GRE) scores in the 50th percentile in both verbal and quantitative sections and 4.5 in the analytical writing section. We look for 50th percentile in both verbal and quantitative on the Graduate Management Aptitude Test (GMAT), which can be taken in place of the GRE.
International students whose first language is not English are required to take the Test of English as a Foreign Language (TOEFL). A minimally acceptable score is 575 for paper and pencil tests and 233 for computerized tests and 90 for internet based. We also accept IELTS with a minimum score of 7. In all cases, GPA and test scores are reviewed in the context of the whole. For example, excellent grades in quantitative courses might offset a marginal quantitative score in the GRE/GMAT, or a good TOEFL/IELTS score might offset a low verbal GRE/GMAT.
GRE or GMAT test scores and dates
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  • 雅思总分:7
  • 托福网考总分:90
  • 托福笔试总分:575
  • 其他语言考试:NA

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课程简介

罗格斯大学人力资源管理硕士(MHRM)计划很高兴宣布HR分析课程跟踪选项的开发,这是MHRM计划课程的一部分。数据分析正在迅速成为人力资源领导力议程中的核心。这种新的HR Analytics重点提供了分析数据的知识和技能,以解释趋势并预测与推动员工成功的HR实践相关的结果。
The Rutgers Master of Human Resource Management (MHRM) program is excited to announce the development of the HR Analytics Course Track option as part of the MHRM program curriculum. Data analytics is fast becoming a centerpiece within the HR leadership agenda. This new HR Analytics concentration provides knowledge and skill in analyzing data to interpret trends and predict outcomes related to the HR practices driving workforce success.
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