【斑马博士捷报】加拿大本科 WES认证GPA2.3 逆袭波士顿大学 Boston University (BU) Master of Science in Applied Data Analytics 应用数据分析硕士录取!
恭喜斑马博士客户获得波士顿大学 Boston University (BU) Master of Science in Applied Data Analytics 应用数据分析硕士录取!

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【案例脉络】

客户加拿大本科,WES认证GPA2.3逆袭斩获获波士顿大学 Boston University (BU) Master of Science in Applied Data Analytics 应用数据分析硕士录取! 斑马博士留学中心专门整理了波士顿大学 Boston University (BU) Master of Science in Applied Data Analytics 应用数据分析硕士的详细的专业解读,供大家参考。


【offer展示】波士顿大学 Boston University (BU) Master of Science in Applied Data Analytics 应用数据分析硕士

斑马博士、斑马博士留学中心、波士顿大学、 Boston University 、BU、 Master of Science in Applied Data Analytics 、应用数据分析硕士 


【院校介绍】波士顿大学(Boston University)   ,简称BU,在2020年Best Value Schools名列第12位   波士顿大学位列2022QS世界大学排名第112位  ; ;2021泰晤士高等教育世界大学排名第54位 ;2020软科世界大学学术排名第90位 ,2021U.S. News世界大学排名第42位  。


【专业解读】The Master of Science (MS) in Applied Data Analytics program provides students with solid knowledge of the foundations of data analytics and emphasizes the presentation and discussion of the latest industry tools and approaches within an academically rigorous framework. The curriculum provides a thorough immersion in concepts and techniques for organizing, cleaning, analyzing, and representing/visualizing large amounts of data. Students will be exposed to various database systems, data-mining tools, data visualization tools and packages, Python packages, R packages, and cloud services such as Amazon AWS, Google Cloud, and Mass Open Cloud. The knowledge of analytics tools combined with an understanding of data-mining and machine-learning approaches will enable students to critically analyze real-world problems and understand the possibilities and limitations of analytics applications.(摘录自官网)


【先修课程】

没有信息技术、计算机科学和数学背景的申请人应参加一下先修课程:

  • Introduction to Software Development
  • Information Structures with Java or Information Structures with Python
  • Data Structures and Algorithms
  • Introduction to Probability and Statistics
  • Database Management
  • Database Design and Implementation for Business



【专业课程】

  • Foundations of Analytics with R
  • Data Analysis and Visualization with R
  • Analysis of Algorithms
  • Data Science with Python
  • Web Analytics and Mining
  • Data Mining



【选修课程】

  • Designing and Implementing a Data Warehouse
  • Machine Learning
  • Big Data Analytics
  • Advanced Database Management
  • Mathematical Statistics




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