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Master of Business and Science - Analytics: Discovery Informatics and Data Sciences

罗格斯新泽西州立大学纽瓦克分校

Rutgers, The State University of New Jersey - Newark

US美国

  • 学历文凭

    学历文凭

    Professional 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

A bachelor’s degree from an accredited university, with a GPA of 3.0 or higher.
The minimum TOEFL scores are 550 (paper-based) or 213 (computer-based).
The minimum IBT internet-based TOEFL scores: writing 22, speaking 23, reading 21, listening 17.
An acceptable IELTS score is bandwidth 7.
Official transcripts must be sent directly to the graduate admissions office at the time of applying.
A bachelor’s degree in Engineering, Engineering Management, Statistics, Mathematics, Computer Science, Industrial Engineering, Operations Research, or related degree, with a GPA of at least 3.0 (a B average) and the GRE (see also the admission requirements for the MBS).
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  • IDP—雅思考试联合主办方

  • 雅思考试总分

    7.0

  • 雅思总分:7
  • 托福网考总分:83
  • 托福笔试总分:550
  • 其他语言考试:NA

CRICOS代码:
申请截止日期: 请与IDP联系 以获取详细信息。

课程简介

The Master's of Business and Science (MBS) degree in Analytics prepares students for data-driven decision making. The curriculum integrates courses in analytics/data science with courses in business and management, through a professionally guided curriculum. MBS gives students multiple hands on course projects that give them the opportunity to partner with companies, nonprofits, and government agencies. Students are also given the opportunity to do semester long projects through the MBS Externship Exchange program, open to working students, online students, and full/part time students. MBS courses are offered to help working professionals get ahead, with our courses being offered in the evenings and hybrid/online. The MBS Analytics curriculum brings together the fields of computer science, statistics, machine learning, data mining and big data. Students will obtain a variety of skills including the ability to analyze large datasets, the ability to develop modeling solutions to support decision making, and a thorough understanding of how data analysis drives business decision making.
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