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For students entering Fall 2026 and beyond.

1. Credit Requirements

Non-Thesis Option

Thesis Option

Applicants who lack any of the above backgrounds and their pre-requisites are required to make up their deficiencies as conditions for acceptance.

With the approval of the Graduate Coordinator, students in the BS/MS program may use up to six credits of graduate courses with an earned grade of B or better for both graduate and undergraduate degrees.

Technical electives are Electrical and Computer Engineering graduate course and concentration courses. Students may choose their technical electives in their area of concentration and across other areas to establish a broad knowledge base. Graduate courses in Computer Science, Mathematics, Physics, and other engineering disciplines may be taken as technical electives only if they are pre-approved by the Graduate Coordinator for non-thesis option, or concurrently by the Graduate Coordinator and the student’s thesis advisor for thesis option.

The credits for Advanced Graduate Project (EECE.7330) cannot be counted toward the requirement for the thesis-option. It can be replaced with a 3-credit technical elective for the non-thesis option.

2. Core Requirement

The objective of the core requirement is to guarantee broad analytical strength for the MS Engineering students. Students in Computer Engineering must take three of the below courses that may be pertinent to their area of concentration.

3. Concentration

A concentration is generally defined by a coordinated and approved sequence of at least four graduate courses. Each student can choose to work out a concentration either with the graduate coordinator or with his/her academic advisor. Completion of a specific concentration is not required for graduation. The course sequences in the concentrations serve as a starting point for establishing a program of study in consultation with the Graduate Coordinator or the student’s academic/thesis advisor to meet his/her educational objectives. It is expected that the courses comprising the concentration will complement the work the student will undertake in fulfillment of the research requirement. 

Opto-Electronics is an option in cooperation with the Department of Physics, and may be pursued by students enrolled in the Master of Science in Electrical Engineering program. This option contains required and recommended courses designed to provide a fundamental background in optical devices and systems, as well as in optical physics and in the electro-optical properties of materials.

In addition to the required three core courses, students pursuing this option must take 16.568 Electro-Optics and Integrated Optics and two other courses from the above list.

Other concentrations in Electrical Engineering can be found from the clusters of courses specified as ECE certificates in the "Graduate Certificates"�����𳦳پ��Dz�.

• Computer Networking and Distributed Systems
  • EECE.5580  World Wide Web programming
  • EECE.5830  Network Design: Principles, Protocols and Applications
  • EECE.5900  Fiber Optic Communications
  • EECE.6570  High-Speed Integrated Networks: Design and Evaluations
  • EECE.6580  Computer Network Security
  • EECE.6590  Distributed Systems
  • EECE.6600  Mobile IP Networking
  • EECE.6610  Local Area/Computer Networking
  • EECE.6660  Storage Area Networks

• Computing and Embedded Systems Hardware and Architecture
  • EECE.5020  VLSI Design
  • EECE.5040  VLSI Fabrication
  • EECE.5170  MMIC Design and Fabrication
  • EECE.5500  Advanced Digital Systems Design
  • EECE.5520  Microprocessors II and Embedded Systems
  • EECE.5530  Software Engineering
  • EECE.5570  Object Oriented Design
  • EECE.5720  Embedded Real-time Systems
  • EECE.5740  Advanced Logic Design
  • EECE.5750  FPGA Logic Design Techniques
  • EECE.6500  Advanced Computing Systems Hardware Architecture
  • EECE.6520  Parallel and Multi-processor Architecture
  • EECE.6560  Fault Tolerance Systems Design
  • EECE.6630  Compiler Structures

• Artificial and Machine Intelligence
  • EECE.5110  Medical Imaging Diagnosis
  • EECE.5520  Microprocessors II and Embedded Systems 
  • EECE.5530  Software Engineering
  • EECE.5540  Voice Recognition, Processing and Computer Sound Drivers
  • EECE.5560 ����Dz��dzپ�����
  • EECE.5570  Object Oriented Design
  • EECE.5720  Embedded Real-time Systems
  • EECE.6510  Computer Vision
  • EECE.6530  Artificial Intelligence and Machine Learning
  • EECE.7500  Advanced Robotics and Machine Intelligence

• Multimedia Digital Signal and Image Processing and Applications
  • EECE.5020  VLSI Design
  • EECE.5100  Digital Signal processing
  • EECE.5110  Medical Imaging Diagnosis
  • EECE.5210  Real Time DSP
  • EECE.5530  Software Engineering
  • EECE.5540  Voice Recognition, Processing and Computer Sound Drivers
  • EECE.5720  Embedded Real-time Systems
  • EECE.5810  Computer Vision and Digital Image Processing

Updated 3/19/26