May 17, 2025  
Fall 2025 Graduate Catalog 
    
Fall 2025 Graduate Catalog

Electrical Engineering, MS


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Electrical and Computer Engineering Department, College of Engineering and Applied Sciences
Degree Awarded: Master of Science in Electrical Engineering
 
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 fields of electrical and computer engineering are in an extraordinary period of growth; new application areas and increased expectations are accelerating due to new technologies and decreased costs. The Electrical and Computer Engineering Department, in the College of Engineering and Applied Sciences, is involved in graduate teaching and research in many of these areas, including communications and signal processing, networking, computer engineering, power engineering, semiconductor devices and quantum electronics, circuits and VLSI. The department has laboratories devoted to research and advanced teaching in the following areas: computing, engineering design methodology, high-performance computing and networking, parallel and neural processing, machine vision, fiber optic sensors and computer graphics, micro and optoelectronics, power electronics, electric power and energy systems, VLSI, telerobotics, DNA sequencing, digital signal processing, and communications.

Since Long Island contains one of the highest concentrations of engineering-oriented companies in the country, the department is particularly strongly committed to meeting the needs of local industry. As part of this commitment, most graduate courses are given in the late afternoon or evening, so as to be available to working engineers on Long Island.

The Department of Electrical and Computer Engineering offers graduate programs leading to the M.S. and Ph.D. degrees. Graduate programs are tailored to the needs of each student to provide a strong analytical background helpful to the study of advanced engineering problems.

Ample opportunities exist for students to initiate independent study and to become involved in active research programs, both experimental and theoretical.

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 MS degree in the Department of Electrical and Computer Engineering requires the satisfactory completion of a minimum of 30 graduate credits. These requirements may be satisfied by either one of the following options:

Non-Thesis Option


At least 30 graduate credits with a cumulative and departmental grade point average of 3.0 or better. Among these 30 credits, up to six credits may be from combination of ESE 597 , ESE 599 , and ESE 698 . Only 3 credits of ESE 698  and up to 3 credits of ESE 597 . Any non-ESE course will need prior approval given by the Graduate Program Director before a student can register.

Notes:


ESE 597 , ESE 599 , ESE 697 , ESE 698  and ESE 699  are not counted as regular courses in (2). Topics course, ESE 670 , can be counted only once as a regular course.

At least one (maximum three) credit of ESE 597 . Graduate Program Director approval is required (see graduate student guide for details). In exceptional circumstances, the Graduate Program Director can approve a replacement of ESE 597  credit by ESE 599 , ESE 699  or ESE 698 .

Thesis Option


Students must inform the department in writing at the end of their first semester if they would like to choose the M.S. Thesis Option.

At least 30 graduate credits with a cumulative and departmental grade point average of 3.0 or better. Among these 30 credits, at least six credits of ESE 599 , with a maximum of 12 credits total being taken from combination of ESE 597 , ESE 599 , and ESE 698  and up to 3 credits of ESE 597  may be used. Only 3 credits of ESE 698  may be used. Any non-ESE course will need prior approval given by the Graduate Program Director before a student can register.

Notes:


ESE 597 ESE 599 , ESE 697 ESE 698  and ESE 699  are not counted as regular courses in (3). Topics course, ESE 670 , can be counted only once as a regular course.

At least one (maximum three) credit of ESE 597 . Graduate Program Director approval is required (see graduate student guide for details). In exceptional circumstances, the Graduate Program Director can approve a replacement of ESE 597  credit by ESE 599 , ESE 699  or ESE 698 .

Students must satisfactorily complete a thesis (see graduate student guide for details).

Certificates


Networking & Wireless Communications Certificate


Matriculated students only.

Networking and wireless communications are key technologies in today’s technological world. Networks such as the Internet as well as telephone, cable and wireless networks serve to interconnect people and computers in a ubiquitous and cost effective way. The area of wireless communications in particular has grown rapidly in recent years and has utilized networking technology to be successful. There is a large industrial base involving networking and wireless communications in terms of equipment and software providers, service providers and end users. Moreover this technology has made the average consumer’s life more productive, flexible and enjoyable.

The Stony Brook Certificate Program in Networking and Wireless Communications is designed to give matriculated students validated graduate level instruction in this area of much recent interest. The program can be completed in a reasonable amount of time as it involves only four courses. These are regular Stony Brook graduate level courses taught by Stony Brook faculty. The SUNY approved certificate program can be tailored to the needs of the individual student. Courses used for the certificate program can also be used toward the MS or PhD degree by matriculated students.

To receive the Stony Brook Certificate in Networking and Wireless Communications, a student must complete FOUR required courses as specified below, with at least a B grade in each course.

Engineering Machine Learning Systems Certificate


Matriculated students only.

The Engineering Machine Learning Systems certificate program educates about the mathematical theory, fundamental algorithms, and optimized engineering of computational learning systems used in real-world, big data applications. Students will also study modern technologies used in devising such data systems, including software tools, architectures, and related hardware structures. Comprehensive, hands-on student projects on designing, implementing, and testing real-world learning systems are part of the certificate program. The certificate program includes a total of four courses: three required courses and one elective course.

To receive the Stony Brook certificate in the Engineering Machine Learning Systems, a student must be currently enrolled in an MS or PhD program in the Electrical and Computer Engineering Department and must complete four courses as specified below, with at least a B grade in each course.

Foundations (1 required):


Notes:


To apply for the Engineering Machine Learning Systems Certificate Program, a student must complete the “Permission to Enroll in a Secondary Certificate Program” form (which requires some signatures) from the Graduate School website, and submit it within the first week of the semester when they start the certificate.

Engineering the Internet of Things Certificate


Matriculated students only.

The Engineering the Internet-of-Things certificate program provides the fundamental principles, popular technologies and optimized engineering of Internet-of-Things applications and systems. Students gain a broad set of skills and knowledge for IoT development and innovation, including sensors and interfaces, RF communication, microcontroller and embedded systems, wireless radios, network protocols, cloud services and security techniques. Students learn how to design, implement and evaluate IoT systems and applications through hands-on projects on popular embedded system hardware. The certificate program includes a total of four courses: three required courses and one elective course.

To receive the Stony Brook certificate in the Engineering the Internet-of-Things, a student must be enrolled in an MS or PhD program in the Electrical and Computer Engineering Department and must complete four courses as specified below, with at least a B grade in each course.

Cloud and Security (1 out of two electives):


Notes:


To apply for the Engineering the Internet-of-Things Certificate Program, a student must complete the “Permission to Enroll in a Secondary Certificate Program” form (which requires some signatures) from the Graduate School website, and submit it within the first week of the semester when they start the certificate.

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