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旧金山州立大学-统计数据科学硕士Master of Science in Statistical Data Science(硕士)

旧金山州立大学-统计数据科学硕士Master of Science in Statistical Data Science(硕士)

上课方式:直播,面授
班级类型:小班
上课时段:白天班,晚班
价       格:¥询价

旧金山州立大学-统计数据科学硕士Master of Science in Statistical Data Science(硕士)课程详情

  • 专业概况
  • 所属院系
  • 中国学生入学要求
  • 课程信息

专业概况

在这里学什么?

The purpose of the program is to deliver a comprehensive curriculum in the fields of statistics and data science to prepare students with diverse backgrounds (including statistics, mathematics, computer science, engineering, and other quantitative fields) for the data science workforce or a doctoral program. The program curriculum emphasizes the following aspects. First, students will be trained in depth in modern statistical and machine learning techniques in addition to the classical statistics theory and applications. Second, they will learn and polish computational skills for various types of data sets including large-scale data ubiquitous in business, technology, and science. Third, these two aspects of the program is built on a solid foundation of statistics theory and understanding of mathematical principles behind techniques and algorithms; this blend is crucial for success in industrial and academic careers in the rapidly changing big data era. Finally, the program has built-in flexibility for different backgrounds and career plans through various electives.

Program Learning Outcomes

  • Apply statistical knowledge and computational skills to formulate problems, plan data collection, and analyze data to provide insight
  • Build and assess statistical and machine learning models, and employ a variety of formal inference procedures
  • Use mathematics to understand the underlying structure of common models used in statistical and machine learning
  • Prepare data for use with a variety of statistical methods and models, and recognize how the quality of data and data collection affect conclusions
  • Communicate effectively to a variety of audiences using oral, written, and visual modes

所属院系

进入哪个院系学习? College of Science and Engineering

中国学生入学要求

为来自中国的学生设计 An applicant must have a baccalaureate degree from an accredited institution and the equivalent major coursework for the program area to which application is made. English language requirement: Minimum score of 550 on the paper-based Test of English as a Foreign Language (TOEFL) or 80 on the internet-based (iBT) test; International English Language Testing System (IELTS): 6.5 overall band score; Pearson Test of English (PTE): minimum score of 55.

课程信息

学制:全日制(30 学分)

学费:US$15,210.00 (¥ 96,764) /年

开学时间:2022八月23日

申请截止日期:

留学地点:College of Science and EngineeringThornton Hall (TH) 323,1600 Holloway Avenue,SAN FRANCISCO,California,94132, United States

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