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Experience the Electrical Engineering Graduate Program

Introduction

The Master of Science degree in Electrical Engineering (MSEE) is designed to provide students and practicing engineers alike with a background in analysis, design, development, or research on electrical or computer engineering in a variety of technical areas. It enables students to expand and deepen their knowledge beyond the baccalaureate degree and gives them the ability to adapt to ever-changing technological developments. Students with adequate background in electrical or digital and computer systems can complete the MSEE degree by successfully completing a minimum of 30 credits of course and project work.

Unique Features

  • Areas of research and study at the graduate level include communications, control, digital signal processing, digital system design and simulation, microprocessor systems, optical sensors, embedded computing, computer architecture, computer networks, VLSI design, and other subareas of electrical and computer engineering.
  • The program is structured in four focus areas: Control Systems, Digital Signal Processing and Communication, Digital and Computer Systems, and Power Systems. Each student must take at least the minimum number of restricted elective courses in at least one focus area.
  • Students enjoy the learning environment, which offers advantages such as small class size, low student-faculty ratio, excellent interaction with dedicated faculty, and participation in research.
  • Financial support is available through scholarships, teaching, or research assistantships. Financial support is offered to those students who, in the estimation of the department faculty, hold greatest promise of success.
  • The MSEE program is open to both part-time and full-time students.

Focus Areas

A plan of study will be devised for each student based on the academic background, professional goals, and interests of the student by the program coordinator. It is required that one of the following four focus areas is followed: communication/signal processing, control systems, digital and computer systems, and power systems.

A minimum of 18 credits of course work must be taken from the list of restricted electives for each focus area. Other courses may be taken from EE or other closely related disciplines with the approval of the MSEE program coordinator.

For course descriptions, please visit our online graduate catalog.

Restricted Electives:

Communications/DSP Area:
•EE 600 – Electromagnetic
•EE 610 – Networking I
•EE 634 - Digital Signal Processing I
•EE 635 - Digital Signal Processing II
•EE 646 - Digital Communications I
•EE 647 - Digital Communications II
•EE 648 - Microwave Engineering
•EE 649 - Wireless Communications
•EE 650 – Random Signal Analysis
•EE 653 - Digital Image Processing
•EE 680 - Fiber Optic Communications

Power Systems
•EE 600 – Electromagnetic
•EE 637 – Power Systems
•EE 637L – Power Systems Lab (1 credit)
•EE 640 – Power Electronics
•EE 640L – Power Electronics Lab (1 credit)
•EE 641 – Electric Drives
•EE 641L – Electric Drives Lab (1 credit)
•EE 634 - Digital Signal Processing I
•EE 650 – Random Signal Analysis

Digital and Computer Systems
•EE 610 - Networking I
•EE 611 - Networking II
•EE 634 - Digital Signal Processing I
•EE 653 - Digital Image Processing
•EE 656 - Hardware Description Language
•EE 657 - VLSI Design
•EE 659 – System On Chip
•EE 682 - Computer Architecture

Control Systems Area:
•EE 604 - Discrete and Continuous Systems II
•EE 605 - Computer Controlled Systems
•EE 606 - Robot Control
•EE 607 - Adaptive Control
•EE 634 - Digital Signal Processing I
•EE 640 – Power Electronics
•EE 650 – Random Signal Analysis
•EE 685 - Optimization of Engineering Systems

Designated Project Courses

The following is a list of designated project courses. A student taking any of the following courses satisfies the requirement for project for MSEE.

•EE 606 – Robot Control
•EE 607 – Adaptive Control
•EE637L – Power Systems with Lab
•EE 640L – Power Electronics with Lab
•EE 641L – Electric Drives with Lab
•EE 656 - Hardware Description Language
•EE 657 - VLSI Design
•EE 659 – System On Chip
•EE 680 - Fiber Optic Communications
•EE 682 - Computer Architecture

Research Activities and Areas of Expertise

Students interested in conducting research as part of their MS program, possibly with financial support, may contact the following faculty directly depending on the research areas of interests:

Adams, William (Image Processing, Artificial Intelligence), wadamas@newhaven.edu

Aliane, Bouzid (Communication, DSP), baliane@newhaven.edu

Fish, Andrew (Nonlinear Systems), afish@newhaven.edu

Eggert, David (Robotics, Network Administration), deggert@newhaven.edu

Esmailpour, Amir (Wireless Networking, 4G LTE), aesmailpour@newhaven.edu

Golbazi, Ali (Fiber Optics and Optical Sensors), agolbazi@newhaven.edu

Karimi, Bijan (Embedded Systems, Networking, VLSI), bkarimi@newhaven.edu

Martinez, Christopher (Embedded Systems, Computer Architecture), cmartinez@newhaven.edu

Thesis and project

Each student must satisfy the project or thesis requirement for MSEE. There are three options as follows:

  1. Taking a designated project course specified in the program.
  2. Taking the research project course EE690. For this option the cumulative GPA of 3.5 or better is needed after completing 18 credits of course work acceptable towards MSEE degree.
  3. Taking six credits of thesis. For this option the cumulative GPA of 3.5 or better is needed after completing 18 credits of course work acceptable towards the MSEE degree.

Admission Requirements

Each applicant will be evaluated based on the academic performance and the promise of success in the program. Applicants with GPA of 3.0 or better in BS electrical engineering, computer engineering will have the highest chance of being accepted into the program. Submission of GRE score is required.

Applicants with strong academic or professional experience but without adequate background necessary for taking some of the graduate courses may be asked to take additional courses beyond the 30 credits.

For full admissions requirements or to inquire about applying to the program, please contact the University's Office of Graduate Admissions.

Hands-on Application

In a splendid example of collaboration, a research group composed of a master’s student in electrical engineering, several other engineering students, and faculty from engineering, physics, and biology developed a novel Bio-Nano-sensor for detection of bacterial pathogens using the principles of CNT-DNA interaction and DNA hybridization. The research work was published in the Journal of Nanotechnology.

Sample Courses
Design of Digital Filters Networking
Digital Image Processing  Power Systems Engineering 
Digital Signal Processing Robot Control
Electric Drives  System On Chip 
Embedded Applications  VLSI Design
Fiber Optic Communications  Wireless Communications 
Microwave Engineering  

 

Sample Employers
Advanced Micro Control,Inc.(AMC) Kodak Science Imaging Systems
Assa Abloy Siemans Medical
AT&T Sikorsky Aircraft
Conair Corp. United Parcel Service
Goodrich Corp. United Technologies Corporation
Hamilton Sundstrand U.S. Patent Office
Hewlett Packard