Master of Science in Enterprise Analytics
  • 学历文凭

    Masters Degree

  • 专业院系

    计算机科学

  • 开学时间

    31 May 2024

  • 课程时长

    2 Semester(s)

  • 课程学费

    USD 40,320

    汇率提示

国际学生入学条件

Applicants to Pace University graduate degree and certificate programs must hold a bachelor's degree from an accredited college or university if postsecondary education was completed in the United States. Applicants who are currently in their senior year at an undergraduate institution may apply for admission, but acceptance will be contingent upon receipt of a final transcript indicating all senior year grades and receipt of the bachelor's degree. Applicants who have attended institutions outside of the U.S. must hold a degree equivalent to a U.S. bachelor's degree.
A TOEFL score of 78 (Internet version)
An IELTS score of 6.5
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雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:78
  • 托福笔试总分:160
  • 其他语言考试:Pearson PTE score of 52 is preferred
CRICOS代码:
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课程简介

This program is STEM designated, which means you will be trained in areas of technology that are in high demand with United States employers.In today's data-driven world, analytics is a part of everyday company operation. The difficult part is finding employees trained in data analytics with the skills to not only understand and utilize analytics tools but to follow up their analysis with clear, definitive recommendations for the next step. Successful data analysis pulls from many different skill sets. In order to determine what data to collect, you need to understand the business and market landscape so you can determine what data would suit your purpose. You need to know how to gather that data, what tools are the best to analyse it, how to translate the results into a story the CEO will understand, and how to use that data to make recommendations for enterprise-level decision making that will heavily impact the direction of the organization. The career opportunities around Big Data have never been greater. The MS in Enterprise Analytics combines computer science, statistics, data warehousing, database design, and data mining into a program that includes advanced analytics skills, a foundation in data science technology architectures, database programming, and algorithmic thinking to source data, build queries, develop reports, and build enterprise applications that extract maximum value and recognize patterns or anomalies in Big Data sets.
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    在校学习

  • 跨境学习

    跨境学习

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    校园授课-线上开始

  • 在线/远程学习

    在线/远程学习

关于佩斯大学

佩斯大学是一所位于纽约的知名私立大学。佩斯大学的学费投资回报率在美国院校中排名前 10%,它为学生提供了卓越的价值以及在学术、专业和社会经济方面改变生活的机会。大学下设七个学院:卫生职业学院、戴森文理学院、伊丽莎白-豪布法学院、鲁宾商学院、桑兹表演艺术学院、教育学院以及塞登伯格计算机科学与信息系统学院,提供商业、医疗保健、计算机科学、人文学科、教育、科学、法律、美术和表演艺术等各种课程。佩斯大学在纽约市和纽约韦斯切斯特县设有校区,为近14000万名学生(约8000名本科生和6000名研究生)讲授学士、硕士和博士学位课程。该校有50多个尖端实验室、研究所、诊所和学习设施,为学生提供难得的实践学习机会。佩斯大学还拥有纽约最大的实习计划之一。上一学年,学生参加了近 8000 次实习、临床、合作实习和实地体验。佩斯大学拥有优秀的教学质量、卓越的教学设施和令人惊叹的实习机会,为学生提供了一切取得成功的工具。佩斯大学的毕业生就业率比美国全国平均水平高出 10 多个百分点。佩斯大学是一所多元化、包容性的大学,学生来自世界各地。佩斯致力于学生的福祉,确保他们能够获得各种服务,帮助他们适应美国的学生生活,并解决其他任何问题或疑虑。

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