- 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？
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
中國學(xué)生入學(xué)要求
為來自中國的學(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).
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)：
滬ICP備18048269號(hào)-1 
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