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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.

 

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