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斯蒂文斯理工学院-机器学习科学硕士Master of Science in Machine Learning(硕士)

斯蒂文斯理工学院-机器学习科学硕士Master of Science in Machine Learning(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

斯蒂文斯理工学院-机器学习科学硕士Master of Science in Machine Learning(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?

Get on the fast track to make an impact in one of today’s fastest growing fields with a master’s degree in machine learning.

Get on the fast track to make an impact in one of today’s fastest growing fields with a master’s degree in machine learning.

The machine learning master’s program establishes the theoretical and practical foundations necessary to be at the forefront of progress in the next technological revolution. Advancements made in machine learning and related disciplines will soon touch every piece of technology, making an advanced degree an essential asset for a successful career.

The rapidly expanding field of machine learning has a multitude of applications in diverse areas such as intelligent systems, computer vision, speech recognition, natural language processing, robotics, finance, information retrieval, bioinformatics, healthcare, and weather prediction.

Our unique master’s program develops a thorough understanding of deep learning theory and familiarizes students with the most important machine learning paradigms. This allows them to apply or develop the appropriate methods in real-world applications, whether pursuing a career in industry, academia, or research.

The Stevens Advantage

The Stevens campus is located in the heart of the New York City metropolitan area where over 7,500 tech companies are engaged in creating the future. Industry leaders like Google, Facebook, Amazon, Microsoft and Bloomberg, along with a vibrant startup scene are hiring tens of thousands of tech-professionals. Stevens’ location and long history of career placement success in the tech industry provides you with networking opportunities you won’t find anywhere else in the U.S.

Career Opportunities

  • Research Scientist
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence Developer
  • Data Engineer
  • R&D Engineer.

所属院系

进入哪个院系学习? Charles V. Schaefer Jr. School of Engineering and Science

中国学生入学要求

为来自中国的学生设计 An undergraduate degree with a “B” average or better from an accredited college or university.

课程信息

学制:全日制(30 学分)

学费:US$38,876.00 (¥ 247,325) /年

开学时间:2022八月23日, 2022一月18日

申请截止日期:预计在April 2023

留学地点:Charles V. Schaefer Jr. School of Engineering and ScienceEdwin A. Stevens Building (EAS), 24 5th Street,HOBOKEN,New Jersey,7030, United States

学制:在线/远程学习(30 学分)

学费:US$38,876.00 (¥ 247,325) /年

开学时间:2022八月23日, 2022一月18日

申请截止日期:15-Aug-22

留学地点:

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