Coordinator & Graduate Advisor: Bijan Karimi, Professor
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.
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:
- Taking a designated project course specified in the program.
- 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.
- 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.
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
