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Master of Science in Electrical Engineering Online

Fall 2027 Start

Apply:
Oct. 1, 2026–June 15, 2027

Spring 2028 Start

Apply:
Jun. 1, 2027 -Sep. 30, 2027

Fall 2028 Start

Apply:
Oct. 1, 2027–June 15, 2028

Quick Facts
  • $911 cost per unit
  • 1.5 years avg
    completion time
  • Online

SDSU’s online Masters of Electrical Engineering program is extremely flexible, designed with working professionals in mind. You can learn from expert SDSU faculty, connect with a network of industry professionals, and engage with state-of-the-art curriculum without putting your career on hold.

What skills will an Electrical Engineering degree give me?

An electrical engineering degree prepares you to work in the field through online courses in coding theory, renewable energy, power systems, and more. You’ll gain an advanced knowledge of these concepts, along with widely applicable skills like problem solving and communication.

Is This Program for Me?

  • Early-career professionals who want to advance in their field
  • Engineering professionals who want to specialize in electrical work
  • Busy adults who would benefit from the online format

Build Real-World Skills

  • Abstract Reasoning
  • Project Management
  • Systems Design
  • Computer-based Modelling
  • Analytical Skills
  • Processor Design

Same SDSU Degree, Earned With Convenience

  • Same degree as on-campus students
  • Degree does not say “online”

  • Designed by SDSU’s College of Engineering
  • Accredited by the WASC Senior College and University Commission (WSCUC)

My Courses

Core Courses (6 Units)
  • EE 798 (Special Study project) is a required course for all students. For the second core course, students can choose either EE 602 or EE 603.
  • EE 798: Special Study (3 Units)
    You can enroll in your Capstone Project course after completing at least 21 units of coursework. Your graduate advisor can help you select a project topic aligned with your coursework. The project has to be defended orally to the project advisor, and you must submit a written report of the project to the department.
  • For the second core course, choose either EE 602 or EE 603.
  • EE 602: Stochastic Signals and Systems (3 Units)
    Random signals, correlation functions, power spectral densities, the Gaussian process, narrow band processes. Applications to communication systems.
    Created by: Dr. Ashkan Ashrafi
  • EE 603: Engineering Optimization (3 Units)
    Unconstrained and constrained optimization problems. Convex sets, functions, analysis, and optimization problems. Least-squares, linear, and quadratic programs. Optimality conditions, duality theory.
    Created by: Dr. Saeed Manshadi
The remaining 15 units for the AIT Masters are taken from the following courses
  • EE 503 Biomedical electronics (3 units)
    Instrumentation systems to monitor, image, control, and record physiological functions
    Created by: Dr. Hakan Toreyin
  • EE 581: Power System Dynamics (3 Units)
    Three-phase faults, symmetrical components, unsymmetrical faults, protective relay operating principles, economic dispatch of thermal power generation units, power system controls, voltage and power stability.
    Created by: Hassan Ghoudjehbaklou, Ph.D.
  • EE 584: Power Electronics (3 Units)
    Design and analysis of power electronic devices. Permanent-magnet and pulse-width modulation ac-to-ac converters, dc-to-ac inverters, power electronics applications, power semiconductor switches, and switch-mode power supplies.
    Created by: Dr. Reza Sabzehgar
  • EE 586: Distributed Energy Resources and Smart Grid Technologies (3 Units)
    Effects of changes in structure of the electric utility system caused by distributed generation or co-generation involving deployment of renewable energy sources such as wind and solar. Photovoltaic systems to include power converters and energy storage, residential grid connected photovoltaic systems, load flow analysis of power grids and microgrids.
    Created by: Dr. Sridhar Seshagiri
  • EE 658: Advanced Digital Signal Processing (3 Units)
    Advanced topics in FIR and IIR filter design. Quantization effects in digital filters. Sigma-delta modulation. Signal modeling. Parametric and non-parametric spectral estimation. Frequency estimation.
    Created by: Dr. Ashkan Ashrafi
  • COMPE 510: Machine Learning (3 Units)
    (soon to be COMPE 510) Machine learning is a discipline that deals with the automatic design of models from data and has been successfully used in the past few decades for data analysis, process automation, function optimization, model building and many others. The main topics to be covered include probability theory, linear regression, logistic regression, neural networks, decision trees, clustering, Bayesian estimation, dimension reduction, Markov and hidden Markov models with implementation of these models in Matlab, Python or R.
    Created by: Dr. Junfei Xie
  • COMPE 560: Computer Networks (3 Units)
    Wide area and local area networks, multi-layered protocols, telephone systems, modems, and network applications.
    Created by: Dr. Mahasweta Sarkar
  • CompE 660: High Speed Networks (3 Units)
    Provides students with knowledge of recent developments in the area of computer networks. Current research in high speed computer networks.
    Created by: Dr. Aarti Gehani
  • EE 558: Digital Communications (3 Units)
    Design of baseband digital communication systems; noise characterization, sampling, quantization, matched filter receivers, bit-error performance, inter-symbol interference, link budget analysis.
    Created by: Dr. Duy Nguyen
  • EE 650: Modern Communication Theory (3 Units)
    Wireless digital communication; bandpass modulation and demodulation, multiple access techniques, broadband signaling techniques, spread spectrum techniques; applications include CDMA and OFDM.
    Created by: Dr. Santosh Nagaraj
  • EE 652: Information Theory (3 Units)
    Information measure of data sources; Shannon’s theorem and capacity of communication links; rate-distortion theory and performance of source codes.
    Created by: Dr. Santosh Nagaraj
  • EE 653: Coding Theory (3 Units)
    Error control for digital information; arithmetic of Galois fields; block, cyclic, convolutional and turbo encoding and decoding; applications in digital communication and computer systems.
    Created by: Dr. Santosh Nagaraj
  • CompE 662: Wireless Sensor Networks (3 Units)
    Sensor platforms, wireless channel characteristics, time synchronization, medium access control, topology control, routing protocols, localization, coverage and placement, detection and tracking, query processing.
    Created by: Dr. Shams Al-Ajrawi
  • CompE 671: VLSI Testing (3 Units)
    Theory and techniques for testing VLSI circuits and systems. Analog/mixed-signal testing, Automatic Test Pattern Generation (ATPG), boundary scan and core-based testing, Built-in Self-Test (BIST), defect and fault diagnosis, Design For Testability (DFT), logic/fault simulation, memory test, machine learning applications in VLSI testing, scan design/architecture.
  • EE 685 Micro-Electro-Mechanical Systems (MEMS) Design and Applications (3 units)
    Design and manufacturing technology for micro- and nano-scale devices. Topics include solid state transducers, microscale physics, biomedical microelectronics, microfluidics, biosensors, and hybrid integration of microfabrication technology. Emphasis on biomedical applications.
    Created by: Dr. Sam Kassegne

My Admission Fitness Checker

Before you apply, you’ll need:

  • A bachelor’s degree in electrical engineering, computer engineering, or another STEM-related field
  • A minimum grade point average of 2.85 (based on 4.0 scale) in the last 60 semester (90 quarter) units of technical course work
  • For international applicants: An equivalent grade point average of 3.0 (based on 4.0 scale) or higher and a minimum TOEFL score of 85 or minimum IELTS score of 6.5

Cost and Financial Aid

  • Cost Per Unit: $911
  • Financial aid: Available for eligible students
  • VA benefits: Eligible

Thinking of Going Back to College Online? Download Our Free Guide

If you or someone you know is considering going back to college online, download “Unfinished Business: The Working Adult’s Guide to Earning Your Degree Online.” The guide is full of helpful information and tips that can make the process of going back to college online smoother. Download your free guide today!

Labor Analysis
M.S. in Electrical Engineering Graduate – Nationwide

  • 97,477
    Job Postings in the last 12 months
  • 7.20%
    Projected job growth in the next 10 years
  • $134,300
    Average salary of graduates

Source: Bureau of Labor Statistics, 2025

FAQs

Will my degree say “online”?

No, when you graduate you’ll receive the same degree as SDSU’s on-campus students — a Master of Science in Electrical Engineering from San Diego State University.

How is the program structured?

This program is 100% online and mostly asynchronous. The program consists of required courses and electives that can be completed in as short as 24 months. For each course, you can expect to spend at least 8-11 hours per week for 16-week courses and at least 11-15 hours per week for 12-week courses.

The mostly asynchronous courses may be preferable for students in different time zones as they provide the flexibility to work on your own schedule at your own pace. However, these courses may require group activities and arranged meetings with faculty.

What do online courses at SDSU Global Campus entail?

Our instructional design team works directly with academic departments to offer online courses that are the same academic rigor as on-campus courses. Online courses are self-paced, which means that students can complete lessons and coursework at a time that’s convenient for them.

Do I need a bachelor’s in electrical engineering to apply?

Not necessarily. We accept students with a bachelor’s degree in almost any STEM-related field. With the right preparation, students with degrees in areas outside of electrical engineering are more than capable of succeeding this program. If your undergraduate degree is not in an engineering, math, or physics field, it is strongly recommended you complete EE 380 EE 410 (or the equivalent courses) prior to applying to optimize success in the program.

Can I take courses part time?

Yes; however, a part-time schedule may affect your financial aid and completion time. We encourage you to speak to one of our admissions advisors to discuss setting your schedule.

Is this program ideal for international students?

Yes, our electrical engineering program can be completed from anywhere in the world. With SDSU Global Campus, you can earn a valuable degree from a reputable American university from the comfort of your home country.

Is this program eligible for financial aid?

Yes, this program is eligible for financial aid. The rules around some financial aid options for graduate students are changing significantly, starting July 1, 2026. For more information and the latest guidance on tuition support, please visit our Financial Aid website.

I’m interested. How do I get started?

Fill out the form below to receive additional information.