M.S. in Business and Information Systems

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M.S. in Business and Information Systems (30 credits)

The M.S. in Business & Information Systems prepares its graduates for all areas of this interdisciplinary field, whether it’s behind the computer or in front of the boardroom. Students develop expertise in working with user requirements and understanding information architecture, gain exposure to accounting, finance or human capital, and build both analytical skills and business acumen comparable to an MBA. 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 using 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

HRM 601	Organizational Behavior
IS 601	Web Systems Development
IS 631	Enterprise Database Management
IS 663	System Analysis and Design
IS 665	Data Analytics for Information Systems
IS 677	Information Systems Principles
IS 678	IT Service Management
IS 684	Business Process Innovation

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
CS 684	Software Testing and Quality Assurance
IS 650	Data Visualization and Interpretation
IS 661	User Experience Design
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

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