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商业分析理学硕士

Master of Science in Business Analytics

伦斯勒理工学院

Rensselaer Polytechnic Institute

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

    Management

  • 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

For admission to graduate study, an applicant must have a U.S. bachelor's degree or the equivalent of a U.S. bachelor's degree prior to enrollment.
Your Personal Statement should address your academic and research interests, and future career goals as they relate to the graduate program to which you are applying. The statement should include relevant academic/research, professional, and personal experiences that influenced your decision to apply to the graduate program.
Your resume should include details about your education, employment, and internship history, as well as any pertinent research experience. International students in the U.S. on OPT or CPT should include details about their current activities.
You will be required to enter two recommenders on the online application. Recommendations should be from your academic advisor(s), professors, research mentors, etc., who can provide an assessment of your likelihood of success at the graduate level in your field of study.
Transcripts and Degrees must be in English (all post-secondary education, including transcript keys).
Unofficial transcripts should be uploaded to your graduate application.

TOEFL score of 88 iBT
IELTS score of 6.5
Duolingo score of 110
PTE score of 59
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  • 雅思总分:6.5
  • 托福网考总分:88
  • 托福笔试总分:160
  • 其他语言考试:Duolingo score of 110<br>PTE score of 59

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课程简介

可用的数据比以往任何时候都多,分析已成为当今每个主要业务决策的一部分。拥有密歇根州立大学的商业分析理学硕士学位,您就可以成为这一新兴转型和领先的新兴产业不可或缺的一部分。该计划的主要主题集中于业务战略,数据管理和体验式项目咨询。Broad的商业分析硕士课程的毕业生在许多行业获得了就业机会,例如咨询,汽车,消费品,零售和金融服务。该计划旨在为学生提供数据科学领域多个领域的培训和动手经验,例如描述性,预测性和规范性分析。
This degree program provides students with the knowledge and essential business and technical skills needed to respond to the new challenges characteristic of the data intensive decision-making environments in the world today.<br><br>The program prepares students with the skills to handle large scale data, and develop and utilize statistical and analytics models to mine the data to gain business insights. This includes: cutting-edge analytical modeling, statistical analysis, data management techniques, emerging concepts, practices, and techniques in handling big data, data modeling and analysis to identify patterns, and applying skills to real-world problems in specific business domains. <br><br>The program is one year and 30 credits. The curriculum offers a balance between foundational business concepts with skills in analytical and statistical modeling and data management. The curriculum includes three parts: a business core, an analytics core that includes both modeling and data management courses, and a domain-focused application core that includes project-based courses that allow students to apply their skills to real-world problems in specific domains.<br><br>This program is designed to provide hands-on experience through real-world problem solving. Academic partnerships with IBM and SAS, a business analytics software and services provider, will allow students to access a suite of software tools from these firms. Students will be able to use these software platforms in their courses in real world projects with a number of organizations to gain practical experience.
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