DEGREE REQUIREMENTS

• 10 courses, for a total of 30 credit hours.
• At least 21 credits in electrical and computer engineering and 9 credits in a computer science (CS), physics (PH), engineering (BME, CHE, CE, ECE, FP, MFE, MTE, ME, RBE and SYS) and/or mathematics (MA).

You will work with a faculty advisor to develop a personal, customized and relevant plan of study that can include foundational and advanced courses in: electronics, digital design, radio and microwave engineering, analog design, power systems, and systems engineering.  

Thesis option: Currently, WPI’s online graduate programs do not offer a thesis option, as theses cannot be completed online. If you wish to pursue a thesis on campus, it is the student’s responsibility to find an advisor. Please note that depending on the project’s subject and timeframe, there might not be a faculty member willing or able to advise.

COURSE SCHEDULE

FALL TERM

• ECE 502. Analysis of Probabilistic Signals and Systems
• ECE 506. Introduction to Local and Wide Area Networks
• ECE 514. Fundamentals of RF and MW Engineering
• ECE 5722. Embedded Core Architectures and Core-Based Design
• ECE 5723. Methodologies for System Level Design and Modeling

SPRING TERM

• ECE 5311. Information Theory and Coding
• ECE 503. Digital Signal Processing
• ECE 531. Principles of Detection and Estimation Theory (offered every other year starting in 2017)
• ECE 5720. Modeling and Synthesis of Digital Systems Using Verilog
• ECE 5724. Digital Systems Testing and Testable Design
• ECE 523. Power Electronics

• CS 525. ST: Computer and Network Security (10 weeks, late spring term)

SUMMER TERM

• ECE 503. Digital Signal Processing
• ECE 504. Analysis of Deterministic Signals and Systems
• ECE 505. Computer Architecture
• ECE 506. Introduction to Local and Wide Area Networks

ELECTIVES

• Electives may be taken from other engineering disciplines, such as Robotics or Systems Engineering

• Additional math and management electives can be found here. Please note that you cannot take any management courses if you are planning to apply for or accepted into the Masters in Engineering program.
   

Software used in this program: Matlab/MATLAB R2010a, Advanced Design System (ADS) , PowerWorld Simulator, Python, AutoDesk, LabView, ANSYS, MapleSIM, LinearTech, CircuitLab, Mathematica, Audacity, MicroSIM, PSIM, SPICE, PSPICE, OCTAVE, Euler Math Toolbox, SciLab, SIMULINK, Magnetic Finite-element analysis tool, LTSPICE, Joint Time-Frequency Analysis module by Shie Qian, Verilog Simulator: ModelSim; Design Environment and Synthesis: Quartus II, version 9Course Offerings are subject to change.  If you are interested in enrolling, please contact us for the most up-to-date information.