• 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？

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.

所属院系

进入哪个院系学习？ Ying Wu College of Computing

中国学生入学要求

为来自中国的学生设计 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).

课程信息

学制：全日制(30 学分)

学费：US$30,540.00 (¥ 194,292) /年

开学时间：2022九月1日

申请截止日期：15-Nov-22

留学地点：Ying Wu College of ComputingGuttenberg Information Technologies Center (GITC), Suite 3500,University Heights,NEWARK,New Jersey,07102, United States

学制：在线/远程学习(30 学分)

学费：US$48,390.00 (¥ 307,852) /年

开学时间：2022九月1日

申请截止日期：15-Nov-22

留学地点：