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工商管理硕士-管理

Master of Business Administration - Business Analytics

纽约理工大学

New York Institute of Technology

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

    NA

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    开学时间

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  • 课程学费

    课程学费

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国际学生入学条件

B.S. degree or its equivalent from an accredited college or university.
If you already hold a graduate degree from a regionally accredited university, you may be admitted into the M.B.A. program upon receipt of the admissions documents.
Minimum undergraduate GPA of 3.0.
The GMAT is not a requirement for admission, but may be submitted toward fulfillment of the M.B.A. admissions criteria if your undergraduate GPA is below the requirement listed above. You will be considered for admission if you receive a satisfactory composite GMAT score, which will be determined by the graduate faculty and will consist of a numerical calculation of your undergraduate GPA and your GMAT score.

Copies of undergraduate transcripts for all schools attended. All final, official transcripts must be received prior to the start of your first semester.
Copy of college diploma or proof of degree.
Official GMAT scores, if required. New York Tech GMAT Codes
Full time (9 or more credits): OQN-RL-35

IELTS score: 6.0
TOEFL (iBT) score: 79
Pearson PTE score: 53
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  • 雅思总分:6
  • 托福网考总分:79
  • 托福笔试总分:160
  • 其他语言考试:Duolingo English Test score: 105

CRICOS代码:
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课程简介

我们的工商管理硕士(MBA)是一个多功能,多学科的计划,它将使您的职业发展到更高的水平。学习评估和改善运营,以全球思维方式协同工作以解决社会经济问题,并分析业务的可持续性和盈利能力。NYITs获得AACSB认证的学位使您处于世界金融和商业之都纽约的中心。通过参加行业协会和社区服务计划,访问初创公司,成立的公司和主要金融机构并向拥有数十年实际经验的教授和顶尖行业高管学习,获得领导力和专业经验。利用技术支持系统来加强组织决策过程。使用适当的数据和信息资源进行行业,公司特定或环境业务分析,以弥合抽象理论与实践之
Our 36-credit, AACSB-accredited, STEM-aligned, M.B.A. – Business Analytics concentration will prepare you to solve diverse business problems that require the application of contemporary business analytic techniques. Business analysts and data analysts/scientists are among the most sought-after positions in the U.S. job market. Our M.B.A. with Business Analytics concentration gives you the skills you'll need to analyze and implement data-driven business processes, form business inferences and predictions from data, and make optimal and robust business decisions. Our program offers training on statistical analysis, data visualization, database management, machine learning, and social network analytics applications in different business functional areas including marketing, finance, accounting, operations, supply chain, and human resources. You'll become familiar with business analytics tools such as Python programming, SQL, Tableau, using them with real-world business case studies from different business disciplines to determine which dataset is most useful and how it can be leveraged to solve business problems and increase productivity, efficiency, and revenue.
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