Artificial Intelligence (M.A.S.)

Illinois Tech's Master of Artificial Intelligence program was designed by anticipating the market prospects in one of tech's hottest and fastest-growing fields. 

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The course of study in the Master of Artificial Intelligence program teaches the foundational concepts, methods, and skills of artificial intelligence, machine learning, and big data analytics, as well as the mathematical foundations, ethics, and AI application areas needed for professional success in the field. The program was designed by a committee of AI experts at Illinois Tech’s Department of Computer Science with reference to the current and projected job market in AI, comparison with other similar programs, and consultation with industry representatives.

The M.A.S. in AI program provides a conceptual and practical education in artificial intelligence and its subfields of machine learning, deep learning, computer vision, natural language processing, probabilistic reasoning, data analytics, and data mining. The program has a rigorous core curriculum.

Illinois Tech’s Mies Campus is minutes from downtown Chicago, an intersection of a diverse economy and thriving technology research in immediate need of AI professionals.

Program Overview

The course of study teaches the foundational concepts, methods, and skills of artificial intelligence, machine learning, and big data analytics, as well as the mathematical foundations, ethics, and AI application areas needed for professional success in the field.

Career Opportunities

Artificial intelligence is being implemented in almost all fields of industry into everyday operations. Whether it is analyzing risk management in corporate finances, finding tumors in medical images, building an autonomous vehicle to explore other worlds, or designing a horrible supervillain for the next hot video game, AI is being used to solve problems in all corners of society.

  • Machine learning engineer
  • Data scientist
  • Research scientist
  • Research and development engineer
  • Business intelligence developer
  • Computer vision engineer

Applicants must have a bachelor's degree, although not necessarily in computer science or related field of study, with an overall GPA of 3.0/4.0.

GRE scores of a minimum of 305 are required.

For those without a bachelor's degree in computer science, prerequisite undergraduate coursework with grades of B or better in Accelerated Computer Science or Object-Oriented Programming I and II, and Introduction into Advanced Studies I and II, is required.

TOEFL/PTE/IELTS scores may be required for some applicants.