Enter NJIT's vision for the Applied Enterprise AI program. We're not creating another technical degree; we're building a new kind of professional. One who combines deep technical expertise with professional skills and values that are essential for enterprise technology success.

Objectives
Rooted in the foundations of traditional Information Systems, our Bachelor of Science in Enterprise AI brings a modern touch, equipping students with the skills to design, develop, and deploy next-generation smart information systems. By integrating core principles of system analysis and data management with cutting-edge AI and machine learning technology, this program prepares you to create intelligent technologies that anticipate needs, automate processes, and enhance user experiences.

…AI is an accelerator. [It] helps you move faster and think bigger. One thing I really appreciated about NJIT was how current the curriculum felt. Professors, especially adjuncts who actively work in industry, would bring in real problems they were solving that week. In my experience since graduating, AI isn’t something to fear; it’s something to understand. It’s increasingly being used as a tool across industries, and being comfortable working with it helps you adapt as technology keeps evolving.

– Danielle Grunwald B.S. ’25 (Data Science), Analyst at Axtria

You Will Be Prepared to:

  • Design, implement and fine-tune machine learning and LLM models to solve business problems 
  • Architect enterprise solutions that scale with AI capabilities
  • Apply responsible and ethical AI principles in system development and deployment 
  • Lead teams through complex implementations
  • Communicate effectively with stakeholders at all levels. 

Fundamental Principles

  1. Business-Technology Integration
    • IS Foundation: Bridge between business needs and technical solutions
    • AI Application: Extends this bridge to include AI capabilities
    • Alignment: Maintains focus on business value creation
  2. System Implementation
    • IS Foundation: Focus on successful technology deployment
    • AI Application: Applies same principles to AI system implementation
    • Alignment: Shares emphasis on practical application
  3. Data Management 
    • IS Foundation: Structured data handling and database design
    • AI Application: Enhanced data processing and ML model management
    • Alignment: Builds on established data handling principles
  4. Enterprise Integration
    • IS Foundation: System integration and enterprise architecture
    • AI Application: AI service integration and enterprise AI architecture
    • Alignment: Maintains enterprise-wide perspective

The Four-Year Program

View the full B.S. Enterprise AI curriculum