M.S. in Information Systems
Information permeates every industry in the world today, from farming to pharmaceuticals. Systems to handle all aspects of this information pipeline need to be designed and secured by experts in diverse fields such as development, analytics and auditing.
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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.
Jersey City Cohort Students (non-F1 visa): Tuition, University Fee, and GSA Fee per consecutive semester, regardless of residency and visa status, assuming two Jersey City courses (6 credits) at 2023-2024 rates
- Summer 2024: $6,103
- Fall 2024: $7,086
- Spring 2024: $7,086
M.S. Degrees: Total Tuition, University Fee, and GSA Fee Costs, assuming two Jersey City courses (6 credits) over five consecutive semesters at 2023-2024 rates
- Fall Start: $34,447
- Spring Start: $33,464
- Summer Start: $33,464
Program Contact:
Ying Wu College of Computing
Quinn Hardrick
Student Outreach Manager
973-642-7037
quinn.hardrick@njit.edu
University Admissions
Yaslie Pared
Enrollment Services Manager
973-596-6292
yaslie.pared@njit.edu
NJIT@JerseyCity Location
Julio Oyola
Associate Director of Operations for NJIT@JerseyCity
973-596-6323
julio.oyola@njit.edu