EE Master's Program
General Information
The master's level program serves three essential contemporary needs:
- Advanced Professional Development - Providing qualified graduates from accredited undergraduate engineering and computer science programs with opportunities to pursue advanced professional training
- Industry Professional Enhancement - Enabling practicing engineers and computer scientists to strengthen their expertise by accessing cutting-edge theoretical developments and their real-world industrial applications
- Research Foundation Building - Equipping graduate students pursuing doctoral studies and research careers with comprehensive theoretical foundations essential for advanced scholarly work
The City College offers a Professional Master's Degree in Electrical Engineering, M.E. (E.E.)
Admissions Requirements
- Bachelor’s degree from an accredited institution of higher education with a ‘B’ average in the major field.
- Official transcripts from all post-secondary institutions attended
- Two letters of recommendation
- Resume/CV
- A personal statement that discusses the rationale for pursuing the Master’s degree in Electrical Engineering
- International students must have a TOEFL score of 533 (PBT), 73 (IBT) or 6 (IELTS)
Degree Requirements
| Engineering Core Courses | 12 cr. |
A. Computer Engineering
|
EE G3300: Mobile Robotics EE I2200: Image Processing EE I6500: Neural Networks and Deep Learning EE I5500: Introduction to Robotics, the same as EE I5600: Autonomous Robotic Systems |
EE I5700: Digital Integrated Circuits EE I6000: Computer Communications Systems EE I6400: Computer-Aided Digital VLSI Design EE I6530: Artificial Intelligence for Engineering Applications |
EE I6600: Communications Protocol Engineering EE I7000: Local Area Networks EE I7701: Secure Systems Engineering EE I9400: High Speed Networks |
B. Systems Engineering
|
EE I3301: Power Systems EE I3303: Power Electronics EE I6910: Renewable Energy EE G3304: Energy Economics in Electricity Markets EE G3305: Electric Power System Protection EE G4004: Power System Control 1 - Generators EE F5600: Elements of Control Theory EE I0100: Probability and Stochastic Processes |
EE I0500: Theory of Linear Systems EE I4100: Introduction to Modern Control Theory EE I6500: Neural Networks and Deep Learning EE I6530: Artificial Intelligence for Engineering Applications EE I5300: Digital Signal Processing EE I5500: Introduction to Robotics EE I5600: Autonomous Robotic Systems |
C. Telecommunications Engineering
|
EE I0100: Probability and Stochastic Processes EE I5200: Fiber Optic Communications I EE I6000: Computer Communication Systems EE I6300: Wireless Communication EE I6530: Artificial Intelligence for Engineering Applications EE I6600: Communications Protocol Engineering |
EE I6700: IP Routing EE I7000: Local Area Networks EE I7701: Secure Systems Engineering EE I8300: Fiber Optic Communications II EE I9400: High Speed Networks |
D. Photonics Engineering
|
EE I0100: Probability and Stochastic Processes EE G6800: Introduction to Remote Sensing EE G6902: Introduction to Earth Surveillance EE G6903: Topics in Remote Sensing EE I2200: Image Processing EE I5200: Fiber Optic Communications I |
EE I5800: Introduction to Lasers EE I6200: Principles of Photonics Engineering EE I8200: Electro-Optics EE I8300: Fiber Optic Communications II EE I8500: Optical Signal Processing |
E. Electronics/Communication
|
EE I0100: Probability and Stochastic Processes EE I5200: Fiber Optic Communications I EE I5400: Physical Electronics I EE I5700: Digital Integrated Circuits |
EE I6300: Wireless Communications EE I8300: Fiber Optic Communications II EE I3303: Power Electronics |
| Engineering Management Courses | 3 cr. |
| Technical Electives: | 9-15 cr. |
| Report/Project/Thesis: | 0-6 cr. |
|
Total credits
|
30 cr. |
Requirements Regarding the Master's Degree
Requirements for Enrollment in Graduate Courses
Graduate courses are open to everyone who, in the opinion of the Associate Dean for Graduate Studies and the department concerned, is qualified by education and experience to benefit from them. Where specific courses are listed as prerequisites, equivalent knowledge or experience may be accepted instead...
Requirements for the Master's Degree Academic Standards
Each candidate for a master’s degree must complete at least 30 credits as approved by the department and the Dean. Some students may be required to complete satisfactorily more than 30 credits because of a lack of specific courses or inadequate preparation in a particular area of study. No course may be credited toward a degree unless specifically approved for that purpose...
Advanced Certificates in Special Topics
The Grove School of Engineering offers 12 credit (4 course) programs leading to Advanced Certificates in Special Topics. These programs are organized for degreed practicing engineers who may be entering disciplines requiring knowledge beyond their previous education, and for which they wish to prepare in a short time. Acceptable undergraduate preparation is, of course, required to enter the program.
An Advanced Certificate in Special Topics is awarded by the Grove School of Engineering on satisfactory completion of the course work (minimum GPA of 3.00). While subject to enrollment, it is expected that a sufficient number of classes will be offered each term so that the certificate work can be completed in 2 semesters.
Graduate Citation
Master’s graduates who have attained a GPA of 3.75 or better for the required 30 credits (taken at City University) will receive the Grove School of Engineering Graduate Citation.
The Program Overview of the Cybersecurity
As a key component of New York City’s plan to develop a pipeline of quality tech talent for local employers, City College is joining with the New York City Economic Development Corporation (NYCEDC) to build a Cybersecurity Master’s Degree Program in collaboration with private sector and government partners. This program is part of the broader Cyber NYC initiative, a public-private partnership created to establish New York City as the global leader in cybersecurity. At City College, the goal is to develop an industry-informed curriculum that will provide students with the practical skills required for professional success, and to integrate classroom learning with internships and other industry-supported events such as Cyberwar Week, hackathons, and speaking/networking events. As part of the curricular development, private sector partners will collaborate with City College faculty to build elective courses for the Cybersecurity Master’s Program that address current needs in the field and provide key job skills...
Degree Requirements
Degree Requirements
| Engineering Core Courses | 12 cr. |
A. Computer Engineering
|
EE G3300: Mobile Robotics EE I2200: Image Processing EE I6500: Neural Networks and Deep Learning EE I5500: Introduction to Robotics, the same as EE I5600: Autonomous Robotic Systems |
EE I5700: Digital Integrated Circuits EE I6000: Computer Communications Systems EE I6400: Computer-Aided Digital VLSI Design EE I6530: Artificial Intelligence for Engineering Applications |
EE I6600: Communications Protocol Engineering EE I7000: Local Area Networks EE I7701: Secure Systems Engineering EE I9400: High Speed Networks |
B. Systems Engineering
|
EE I3301: Power Systems EE I3303: Power Electronics EE I6910: Renewable Energy EE G3304: Energy Economics in Electricity Markets EE G3305: Electric Power System Protection EE G4004: Power System Control 1 - Generators EE F5600: Elements of Control Theory EE I0100: Probability and Stochastic Processes |
EE I0500: Theory of Linear Systems EE I4100: Introduction to Modern Control Theory EE I6500: Neural Networks and Deep Learning EE I6530: Artificial Intelligence for Engineering Applications EE I5300: Digital Signal Processing EE I5500: Introduction to Robotics EE I5600: Autonomous Robotic Systems |
C. Telecommunications Engineering
|
EE I0100: Probability and Stochastic Processes EE I5200: Fiber Optic Communications I EE I6000: Computer Communication Systems EE I6300: Wireless Communication EE I6530: Artificial Intelligence for Engineering Applications EE I6600: Communications Protocol Engineering |
EE I6700: IP Routing EE I7000: Local Area Networks EE I7701: Secure Systems Engineering EE I8300: Fiber Optic Communications II EE I9400: High Speed Networks |
D. Photonics Engineering
|
EE I0100: Probability and Stochastic Processes EE G6800: Introduction to Remote Sensing EE G6902: Introduction to Earth Surveillance EE G6903: Topics in Remote Sensing EE I2200: Image Processing EE I5200: Fiber Optic Communications I |
EE I5800: Introduction to Lasers EE I6200: Principles of Photonics Engineering EE I8200: Electro-Optics EE I8300: Fiber Optic Communications II EE I8500: Optical Signal Processing |
E. Electronics/Communication
|
EE I0100: Probability and Stochastic Processes EE I5200: Fiber Optic Communications I EE I5400: Physical Electronics I EE I5700: Digital Integrated Circuits |
EE I6300: Wireless Communications EE I8300: Fiber Optic Communications II EE I3303: Power Electronics |
| Engineering Management Courses | 3 cr. |
| Technical Electives: | 9-15 cr. |
| Report/Project/Thesis: | 0-6 cr. |
|
Total credits
|
30 cr. |
For information on the Master and PhD program contact
Prof. Ahmed Mohamed
Graduate Program Director
Steinman Hall, Room 669
Phone: 212-650-6619
Fax: 212-650-8249
Email:
am%6fhamed@ccny.cuny.ed
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amohamed@ccny.cuny.edu
Last Updated: 07/08/2025 11:06