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Master of Science or Master of Engineering in Applied Artificial Intelligence



What will I learn?

Stevens is traversing new frontiers in artificial intelligence by offering one of the first graduate programs in the country to explore AI applications for engineering.

In the applied artificial intelligence master’s program, graduate students develop a strong background in the theoretical foundations and algorithm development in artificial intelligence and deep learning with a thorough understanding of a variety of engineering applications. Students will learn a blend of software and hardware skills that are applicable across multiple engineering domains.

Students are immersed in a hands-on approach to learning within a mix of course offerings, from fundamental core courses to state-of-the art topics such as internet of things (IoT), information systems security, and big data applications.

Masters students in the applied artificial intelligence program have the opportunity to work on exciting new projects and applications relating to:

  • Machine learning
  • Deep learning
  • Image processing and computer vision
  • Autonomous robotics
  • Smart health
  • Biomedical engineering
  • Transportation engineering
  • Financial engineering
  • Embedded systems
  • Software engineering
  • Intelligent communications networks

The Stevens Advantage

As one of the country's premiere institutions for computer engineering, signal processing and emerging communications standards, Stevens offers graduate students exposure to a broad-based, interdisciplinary curriculum. Located just across the river from New York City, Stevens’ location is ideal for students who want to network with tech companies who are developing groundbreaking new technologies and looking to recruit top level talent.


  • Artificial Intelligence in Design and Construction
  • Biomedical Engineering
  • Computer Engineering
  • Data Engineering
  • Electrical Engineering
  • Mechanical Engineering
  • Software Engineering
  • Systems Biology.

Career Opportunities

  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Data Engineer
  • R&D Engineer
  • Analyst Engineer for Intelligent Networks.

Which department am I in?

Charles V. Schaefer Jr. School of Engineering and Science

Study options

Full Time (30 credit hours)

Tuition fees
US$40,940.00 per year
Start date

18 January 2023


Charles V. Schaefer Jr. School of Engineering and Science

Edwin A. Stevens Hall (EAS),

24 5th Street,


New Jersey,

7030, United States

Online/Distance (30 credit hours)

Tuition fees
US$40,940.00 per year
Start date

18 January 2023

Entry requirements

For students from United States

Applicants have a bachelor's degree from an accredited college or university.

For international students

Students must have a bachelor’s degree, with a minimum GPA of 3.0, from an accredited institution.

English language proficiency students must score at least 74 on TOEFL iBT, 550 on TOEFL PBT, 6 on IELTS.

Full time Application Deadline: 15th April for Fall; 1st November for Spring. Online Application Deadlines: Fall: August 15; Spring: January 15.

*There may be different IELTS requirements depending on your chosen course.


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