MS in Information Systems (MSIS) Postgraduate Programme By New Jersey Institute of Technology (NJIT) |TopUniversities

MS in Information Systems (MSIS)

Location

New Jersey Institute of Technology (NJIT), Newark, United States
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Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The M.S. in Information Systems prepares its graduates to design user interfaces and understand customer requirements. Students also gain exposure to data mining, storage and analytics, virtual and augmented reality, and can specialize in high-demand fields such as network security, information assurance and artificial intelligence/machine learning. To be admitted to the program, we require a basic background in software development (programming, data structures and algorithms). A GRE score is not required.
The program curriculum includes tools and technology such as Python programming, data management in relational and NoSQL databases, and Tableau for data visualization. Discussions and group projects include project and risk management, and scalable/adaptive business processes. Students complete hands-on homework assignments and projects covering both theory and applications real data with guidance from the professor and teaching assistants.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The M.S. in Information Systems prepares its graduates to design user interfaces and understand customer requirements. Students also gain exposure to data mining, storage and analytics, virtual and augmented reality, and can specialize in high-demand fields such as network security, information assurance and artificial intelligence/machine learning. To be admitted to the program, we require a basic background in software development (programming, data structures and algorithms). A GRE score is not required.
The program curriculum includes tools and technology such as Python programming, data management in relational and NoSQL databases, and Tableau for data visualization. Discussions and group projects include project and risk management, and scalable/adaptive business processes. Students complete hands-on homework assignments and projects covering both theory and applications real data with guidance from the professor and teaching assistants.

Admission Requirements

120+
79+
6.5+
57+

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