Accelerated 4+1 Bachelor/Master Option in Electrical Engineering

Program Description

This program, known as the Electrical Engineering (EE) Accelerated Master's Option, is a 4+1 initiative designed for students in the EE bachelor's program at the City College of New York (CCNY). It allows qualified undergraduates to streamline their path to an EE master's degree. Students can apply for this option after completing a minimum of 60 credits toward their B.E degree, maintaining a 3.0 GPA and good academic standing. Admitted students can replace up to four electives (12 credits) with graduate courses, fulfilling both undergraduate (BEEE) and future graduate degree (MSEE, MEEE) requirements.

Rationale

This program benefits students by providing the opportunity to pay lower undergraduate tuition rates while completing both degrees more efficiently. The incorporation of graduate courses during the undergraduate program exposes students to advanced knowledge early on, producing career-ready candidates. This option is expected to enhance enrollment, support additional course offerings, and attract potential Ph.D. students, thereby benefiting the EE Department, the Grove School of Engineering, and the City College.

Admission

• Open to EE undergraduate students with a GPA of 3.0 or higher and in good academic standing.
• Application accepted after completing 60 undergraduate credits but before the final semester.
• Applicants submit 1) application form 2) personal statement describing their interests in EE, and 3) two recommendation letters (optional).
• To remain in the EE accelerated 4+1 option, the student must maintain a GPA of at least 3.0 and good academic standing. If the GPA falls below 3.0, the student will be given one semester to rectify it.
• Upon completion of the B.E. degree, if student's GPA is 3.0 or better and the student's approved graduate courses average 3.0 or better, the student will be automatically admitted to the MS or ME program without needing to apply through the Admissions Office, and without needing to submit transcripts, recommendations, or a personal statement.

Eligible Graduate Courses

Following graduate courses count toward both the BE and the MS/ME degrees.
EE I0100 Probability and Stochastic Processes
EE I2200 Image Processing
EE I3301 Power System
EE I3303 Power Electronics
EE I5200 Fiber Optic Communications I
EE I5300 Digital Signal Processing
EE I5500 Introduction to Robotics
EE I5600 Advanced Mobile Robotics
EE I5800 Introduction to Lasers
EE I6000 Computer Communication Systems
EE I6200 Principles of Photonics Engineering
EE I6300 Wireless Communications
EE I6530 Artificial Intelligence for Engineering Applications
EE I6600 Communications Protocol Engineering
EE I6700 IP Routing
EE I6910 Renewable Energy
EE I7000 Network Security
EE I7600 Secure Internet of Things Design Lab
EE I7700 Penetration Testing and Ethical Hacking
EE I8300 Fiber Optic Communications II
EE I9400 High Speed Networks
EE G4400 Advanced Computer Architecture
EE G6904 Advanced Statistics and Nonlinear
EE G6913 Secure Internet of Things Design Lab II
EE G6914 Hardware Security
EE G7700 Blockchain Applications
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EE G6500 Neural Networks and Deep Learning
EE I2300 Digital Computers I
EE I2400 Digital Computers II
EE I2700 Parallel Comp Arch
EE I4700 Introduction to Neural Networks
EE I5700 Digital Integrated Circuits
EE I6100 Integrated Circuits: Design and Fabrication I
EE I6400 Computer-Aided Digital VLSI Circuits Design
EE I0500 Theory of Linear Systems
EE I1600 Digital Signal Processing Algorithms
EE I4100 Introduction to Modern Control Theory
EE I4500 Direct Energy Conversion
EE G3302 Electrodynamics 2
EE G6800 Introduction to Remote Sensing
EE G6902 Introduction to Earth Surveillance
EE G6903 Topics in Remote Sensing
EE I0300 Electrodynamics
EE I4500 Direct Energy Conversion
EE I5400 Physical Electronics I
EE I8200 Electro-Optics
EE I8500 Optical Signal Processing
EE I3200 Analog Integrated Circuits
EE I3600 MOS Devices and Circuits
EE I5100 Communication Electronics
EE I5400 Physical Electronics I
EE I5700 Digital Integrated Circuits
EE I6100 Integrated Circuits: Design and Fabrication I
EE I6400 Computer-Aided Digital VLSI Design

Application

APPLY HERE

Contacts:

For students applying:
Graduate Advisor: Alex Gilerson at gilerson@ccny.cuny.edu
Undergraduate Advisor: Edward Baurin at golovatch@ccny.cuny.edu