Program Overview

Online M.S. in Artificial Intelligence

The M.S. in Artificial Intelligence degree at NJIT blends practical experience with a deep understanding of the mathematical models and programming frameworks that power today's AI systems. Students develop skills needed for an artificial intelligence career by working with tools like TensorFlow and PyTorch, and exploring topics like machine learning, deep learning, and natural language processing.

Degree Overview

• Delivery Format: online
• Required Credits: 30

Program Overview

The graduate degree in artificial intelligence at NJIT has 10 courses and the option for a master's project or a thesis option. It offers the knowledge and experience you need to advance in AI, with flexible learning options that fit your schedule.

• Total credits: 30
• Recommended completion time: 2 years for part-time students (9 or fewer credits per semester); full-time students may finish sooner
• Format: 100% online (on-campus format is also available at NJIT's Newark location)

Who Should Apply?

This program is ideal for:

• Professionals with a background in software development or data analysis seeking to specialize in predictive analytics and AI.
• Engineers or computer scientists looking to expand their expertise in machine learning and AI applications.
• Individuals aiming to transition into careers with a master's in artificial intelligence, such as data scientist, AI engineer, or machine learning specialist.
• Those seeking a flexible, online learning format to earn an advanced degree while balancing work and personal commitments.

What You'll Learn

Graduates of NJIT's M.S. in Artificial Intelligence program can acquire skills in:

• Building AI models for Natural Language Understanding and Generation to improve how we interact with machines.
• Using image understanding techniques to analyze and make sense of visual data across various applications.
• Developing AI-driven solutions for complex problems through reasoning and planning.
• Diving into deep learning architectures and tackling important issues like algorithmic bias in AI systems.

Career Outcomes

The M.S. in Artificial Intelligence from NJIT is designed to equip you with the tools to create and apply intelligent AI solutions across industries. Build practical skills that prepare you for roles like:

• AI Engineer
• Machine Learning Specialist
• Data Scientist
• Computer Vision or Visualization Expert
• Natural Language Processing Developer
• AI Ethics and Policy Analyst

Admissions Requirements

This program accepts students for the Fall, Summer, and Spring semesters.

• For helpful resources on how to apply for the M.S. in Artificial Intelligence program, refer to the admissions checklist and important dates and deadlines.

Why an M.S. in Artificial Intelligence Matters Today

AI is transforming the way we live and work, creating new opportunities across industries. Understanding how to choose the right AI graduate degree can make all the difference in gaining the skills needed for an artificial intelligence career — from building advanced models to navigating ethical challenges. An M.S. in Artificial Intelligence can help you lead in this fast-moving field.

Frequently Asked Questions

• Is a master's in artificial intelligence worth it?
  AI is no longer emerging; it's here, and there is significant career potential from becoming an expert in the field.
• What do I need to know before starting an AI degree?
  Before enrolling, it's helpful to have a background in programming, mathematics, or computer science.
• How do I choose the right AI graduate degree?
  Consider what aligns best with your career goals — whether that's working in healthcare AI, finance, or emerging tech. Look for programs that combine technical depth with hands-on experience.
• What are the differences between AI and data science degrees?
  While both fields overlap, an AI degree focuses on designing and applying intelligent systems, including building machine learning models, natural language processing, and process automation. Data science centers on extracting insights from data to guide human decision-making.