MS in Business and Information Systems (MSBIS)

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, a basic background in software development (programming, data structures and algorithms) is required. A GRE score is not required.

Program Curriculum

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

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

Core 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

Prerequisites and Admissions

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

Program Outcomes

• 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.

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Overview:

New Jersey Institute of Technology (NJIT) is a public research university located in Newark, New Jersey. It is known for its strong focus on science, technology, engineering, and mathematics (STEM) fields. NJIT is consistently ranked among the top schools for return on investment.

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Student Life and Campus Experience:

The provided context highlights the positive experiences of NJIT students. Students have access to various resources and opportunities, including research experiences, internships, and career fairs. The university emphasizes the importance of student involvement and provides a supportive environment for students to pursue their academic and professional goals.

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Key Reasons to Study There:

• Strong focus on STEM fields
• High return on investment
• Excellent research opportunities
• Supportive faculty and staff
• Vibrant campus community

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Academic Programs:

The context mentions various academic programs, including: - Computing - Architecture & Design - Engineering - Humanities & Liberal Arts - Math & Science - Business