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M.S. in Information Systems (30 credits)

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.

 

 

Recommended part-time credit schedule: Two courses (6 credits) per semester over five consecutive semesters, including Summer. Start is possible in Fall, Spring or Summer semesters.

Required Courses

IS 601 Web Systems Development
IS 631 Enterprise Database Management
IS 661 User Experience Design
IS 663 System Analysis and Design
IS 665 Data Analytics for Information Systems
IS 684 Business Process Innovation
IS 688 Web Mining
Sample Electives
CS 636 Data Analytics with R Programming
CS 643 Cloud Computing
CS 644 Introduction to Big Data
CS 675 Machine Learning
CS 677 Deep Learning
IS 650 Data Visualization and Interpretation
IS 677 Information Systems Principles
IS 678 IT Service Management
IS 685 Enterprise Architecture and Integration
Math 661 Applied Statistics

 

 

 

 

 

 

 

 

 

 

 

 

 

To be eligible for admission, a student must have a B.S. degree with a minimum GPA of 2.8 on a 4.0 scale and have the following background (typically obtained through a BS in a STEM field):

  • Programming: Basic object-oriented programming constructs, writing and debugging programs, iteration, recursion, structures and arrays
  • Data Structures and Algorithms: Basic data structures, search and sort, algorithm analysis

 

  • Manage data retrieval, analysis and visualization for your team, presenting conclusions and guiding decision-making.
  • Develop applications for data collection and use scripting to distill and summarize large data sets.
  • Design interfaces that allow for ease of use for both software and data sets.
  • Analyze enterprise-scale systems and apply best practices for business processes to improve efficiency, agility, compliance and effectiveness.
  • Process text, financial information or unstructured data on the Internet to extract insights and provide recommendations.

 

Master of Science in Information Systems -- Professional Management Option

The objective of the MS IS – Professional Management option is to create leaders with strong communication and management skills in addition to solid technical knowledge in data analytics, and the analysis, design, and implementation of information systems. This option is designed for working professionals or students who already have acquired some professional experience.  It mandates a strong experiential component (a MS project or MS thesis or Cooperative Experience with industry participation and professorial guidance).  

Detailed curriculum and requirements for the M.S. in Information Systems -- Professional Management Option are available at this link.

Program Contact:

University Admissions
Yaslie Pared
Enrollment Services Manager
973-596-6292
yaslie.pared@njit.edu