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Fall 2025 Graduate Catalog

Engineering Artificial Intelligence, MS

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Electrical and Computer Engineering Department, College of Engineering and Applied Sciences
Degree Awarded: Master of Science in Engineering Artificial Intelligence
 
Chairperson: Leon Shterengas, Light Engineering Building 273 (631) 632-9376
Graduate Program Director: Fan Ye, Light Engineering Building 143 (631) 632-9376
Assistant to the Chair: Chantalle McKim, Light Engineering Building 273 (631) 632-8420
Graduate Program Coordinator: Ashley Cimato, Light Engineering Building 267A (631) 632-8401
Department Coordinator: Adam Ortiz, Light Engineering Building 267 (631) 631-8415
 

The Master of Science in Engineering of Artificial Intelligence (EAI) prepares specialists with comprehensive knowledge in all areas of this new disruptive and revolutionary technology. The program provides interdisciplinary foundations and practical experience in algorithms, sensors, hardware, control, and applications. The program consists of a three-semester course sequence which covers the fundamentals of Artificial Intelligence, probabilistic reasoning, machine learning, deep learning algorithms, sensor electronics, digital systems design and acceleration hardware, control theory and practice, convex optimization, natural language processing, and computer vision and applications in mobile, health, and other domains. The holistic nature of the program allows students to specialize in any sub-field of Artificial Intelligence (AI) and solve real world problems, many of which go beyond just algorithms and software.

Admission Requirements

For admission to graduate study in the Department of Electrical and Computer Engineering, the minimum requirements are:

  1. A. A bachelor’s degree in electrical or computer engineering or computer science from an accredited college or university. Outstanding applicants in other technical or scientific fields will be considered, though special make-up coursework over and above the normal requirements for a graduate degree may be required.
  2. B. A minimum grade point average of B in all courses in engineering, mathematics, and science. GRE V150, Q159, WA3 (if required by the graduate school); TOEFL 80, IELTS 7 (for international applicants); 3 recommendation letters. These are the minimum requirements. See ECE graduate admission page for more details.
  3. C. Acceptance by both the Department of Electrical and Computer Engineering and the Graduate School.

Degree Requirements

The EAI MS program offers both thesis and non-thesis options. A non-thesis option is expected to be finished in three semesters, while a thesis one typically takes four semesters. In general, at least 30 graduate credits with a cumulative and departmental grade point average of 3.0 or better are needed. The details of the program structures and course/credit requirements in different subareas are given below:

Subarea: Foundations (6 credits)

Subarea: Methods (6 credits)

Subarea: Applications (3 credits)

Select one of the following:

Subarea: Hardware (3 credits)

Select one of the following:

Electives

3 credits for Thesis Option

6 credits for non-Thesis Option

Thesis Option

  • Industrial Experience: at least 1 but not more than 3 credits

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  • 1-3 credits

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  • In exceptional circumstances, the Graduate Program Director can approve a replacement of ESE 597 credits by ESE 599 (Research for MS students) or ESE 698 (Practicum in teaching) credits. 

     

    Students who choose to take one credit of industrial experience may consult with their advisor on how to complete the remaining two credits for their degree.

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  • Research Experience: at least 6 credits

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  • 1-12 credits

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  • Teaching Experience: not required but can be used (maximum 3 credits)

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  • 1-3 credits

Non-Thesis Option

  • Industrial Experience: 3 credits

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  • 1-3 credits

  •  

  • In exceptional circumstances, the Graduate Program Director can approve a replacement of ESE 597 credits by ESE 599 (Research for MS students) or ESE 698 (Practicum in teaching) credits.

  •  

  • To meet the 30-credit minimum for the program, non-thesis students may take one of the following:

  •  

  • Research Experience: Maximum 3 credits

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  • 1-12 credits

  •  

  • Teaching Experience: Maximum 3 credits

  •  

  • 1-3 credits

  •  

  • Additional Elective: 3 credits

     

    Any course listed above not already used to fulfill another program requirement OR Any ESE or non-ESE course not listed above but approved by Graduate Program Director (3 credit max.; approval must be obtained before enrollment).

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