数据分析理学硕士
Master of Science in Data Analytics

印第安纳波利斯大学

US

QS排名:

  • 学历文凭

    Masters Degree

  • 专业院系

    数据库管理

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Bachelor's degree or higher (any discipline) from an accredited college or university
Original transcripts from each college or university previously attended
Two letters of recommendation (professional or academic)
Required TOEFL score of 79 on the Internet-based test or a Band score of 6.5 on the IELTS (may not be required if international applicant has bachelor's or post-bachelor's degree from an accredited university in the United States). A score of 79 or above does not guarantee admission and a score below 79 does not guarantee denial. We examine all information included within the application process.
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IDP—雅思考试联合主办方

雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:79
  • 托福笔试总分:160
  • 其他语言考试:NA
CRICOS代码:
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课程简介

各种形式的数据都在继续扩展,并变得更易于企业和消费者使用。发生这种情况时,对可以解释和应用它以实现竞争优势的人们的需求也会增加。UIndy提供的课程可通过将宝贵的技能带入市场来满足您的需求。学习分析定量和定性数据,以改善生产和组织绩效。您精于检查大数据将使您能够揭示隐藏的模式,联系和其他见解。我们的计划可帮助您成为这个新兴且快速发展的领域的专家。
Data in all forms continues to expand and become more readily available to both businesses and the consumer. As this happens, the demand for those who can interpret and apply it to achieve a competitive advantage will also increase. UIndy provides a curriculum that prepares you to meet this demand by bringing invaluable skills to the marketplace. Learn to analyze both quantitative and qualitative data to improve production and organizational performance. Your proficiency in examining big data will allow you to reveal hidden patterns, connections, and other insights. Our program helps you become an expert in this emerging and fast-growing field.<br>Applied learning philosophy utilizing real world organizational data and projects<br>Focus on applying analytics to make an organizational difference through a combination of technical skill and business understanding<br>Exposure to analytics tools: Python, R, SAS, SAS Enterprise Miner, Tableau and Tableau Prep<br>Preparation for the Certified Analytics Professional exam<br>Business Analyst, Operations Analyst, Data Scientist
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