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斯蒂文斯理工學(xué)院

斯蒂文斯理工學(xué)院-機器學(xué)習(xí)科學(xué)碩士

Master of Science in Machine Learning(碩士)

院校名稱斯蒂文斯理工學(xué)院
院校排名707

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專業(yè)概況
所屬院系
中國學(xué)生入學(xué)要求
課程信息

專業(yè)概況

在這里學(xué)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.

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.

所屬院系

進入哪個院系學(xué)習(xí)？

Charles V. Schaefer Jr. School of Engineering and Science

中國學(xué)生入學(xué)要求

為來自中國的學(xué)生設(shè)計

An undergraduate degree with a “B” average or better from an accredited college or university.

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課程信息

學(xué)制：全日制(30 學(xué)分)

學(xué)費：US$38,876.00 (￥ 247,325) /年

開學(xué)時間：2022八月23日, 2022一月18日

申請截止日期：預(yù)計在April 2023

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

學(xué)制：在線/遠程學(xué)習(xí)(30 學(xué)分)

學(xué)費：US$38,876.00 (￥ 247,325) /年

開學(xué)時間：2022八月23日, 2022一月18日

申請截止日期：15-Aug-22

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