Electrical Engineering

The Master of Engineering in Electrical Engineering (M.E.E.E.) is a professional degree that provides advanced practical and theoretical training in electrical engineering. Graduates will be prepared to excel in careers in the public or private sector that require them to solve problems in communications, photonics, signal and information processing, electronics, electric power, and related fields.The M.E.E.E. program is designed to make a difference, not just in students’ resumes, but in their ability to thrive and grow in today’s technical workplaces. For those who decide to go further with their studies, the M.E.E.E. has been specifically arranged to mesh smoothly with the Ph.D. program currently in place at CUNY’s City College.

Graduate Course Double Counting Policy 

Undergraduate students satisfying the following criteria may be granted permission to take up to two graduate courses (to fulfill their 400 level elective requirements) to be counted towards both their bachelor’s and master’s degree. This allows students to earn both the bachelor’s and the master’s degrees in five years.  

Students must meet the following criteria:

1. Current enrollment in bachelor’s degree in Electrical Engineering at College of Staten Island and successful completion of three years of study with 90 or more earned credits. 

2. Cumulative GPA 3.0 or above.

3. Two letters of recommendation, at least one from a full-time College of Staten Island ENS faculty under whom the applicant has studied. 

4. Permissions from the coordinator of the graduate program, and the department chairperson.

5. Application for admission and conditionally accepted to Master of Engineering in Electrical Engineering program. 

6. Graduate courses in the following list are eligible: ELE 600 (Probability and Stochastic Processes in Engineering), ELE 610 (Advanced Signal Processing), ELE 620 (Networking Systems and Protocols), ELE 630 (Semiconductor Devices), ELE 636 (Electrical Machines and Energy Systems), ELE 641 (Advanced Digital Communications),ELE 652 (Information Theory),ELE 701 (Photonic Devices), ELE 713 (Principles and Practice of Secure Networking), ELE 722 (Data Modeling and Compression), ELE 732 (Estimation, Detection, Learning and Inference), ELE 736 (Electric Power Transmission and Distribution), ELE 741 (Photonic Systems and Networks), ELE 755 (Principles and Practice of Machine Vision)