新澤西理工學(xué)院

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新澤西理工學(xué)院-數(shù)據(jù)科學(xué)碩士

M.S. Data Science(碩士)

專業(yè)概況

在這里學(xué)什么?

Housed in the Department of Computer Science and offered in collaboration with the Department of Mathematical Sciences, the interdisciplinary Data Science program offers you the choice of a Computational or a Statistics track, while equipping you with the fundamentals and application tools to solve Data Science problems.

Program Objectives

  • Provide training in three core components of data science: machine learning, big data analysis and programming for Data Science.
  • Provide training in applied statistics, particularly statistical inference.
  • Cover applications and contemporary topics in Data Science.

Learning Outcomes

  • Apply statistical methods for decision making.
  • Build and analyze predictive models from data using machine learning and statistical inference.
  • Program Data Science applications in high-level languages such as Python and R.
  • Analyze large datasets using high-performance computing and distributed computing methods.
  • Compare the benefits and drawbacks of contemporary and advanced topics in Data Science.
  • Make informed architectural decisions based on a good understanding of how available technologies differ and complement each other and what scalability and consistency trade-offs they provide.

Students in the Master of Science in Data Science (MSDS) program must successfully complete 30 credits based on any of the following options:

  • Courses (30 credits)
  • Courses (27 credits) + MS Project (3 credits)
  • Courses (24 credits) + MS Thesis (6 credits)

Independent of the chosen option, all core courses in the respective tracks are required.

所屬院系

進(jìn)入哪個(gè)院系學(xué)習(xí)?

Ying Wu College of Computing

中國(guó)學(xué)生入學(xué)要求

為來(lái)自中國(guó)的學(xué)生設(shè)計(jì)

To be considered for a master's program at NJIT, you must have completed a four-year undergraduate program accredited in the United States, or its equivalent and demonstrates strong academic achievement in an appropriate discipline. Students with TOEFL scores of 550 (Paper-based); 213 (Computer-based); 79 (Internet-based); 6.5 (IELTS).

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課程信息

學(xué)制:全日制(30 學(xué)分)

學(xué)費(fèi):US$30,540.00 (¥ 194,292) /年

開(kāi)學(xué)時(shí)間:2022九月1日

申請(qǐng)截止日期:15-Nov-22

留學(xué)地點(diǎn):Ying Wu College of ComputingGuttenberg Information Technologies Center (GITC), Suite 3500,University Heights,NEWARK,New Jersey,07102, United States

學(xué)制:在線/遠(yuǎn)程學(xué)習(xí)(30 學(xué)分)

學(xué)費(fèi):US$48,390.00 (¥ 307,852) /年

開(kāi)學(xué)時(shí)間:2022九月1日

申請(qǐng)截止日期:15-Nov-22

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