Graduate Programs
Study Electrical & Computer Engineering and Computer Science & Engineering at a Top Research University
University of Arizona electrical and computer engineering graduate students are forward-thinking problem solvers who ultimately find themselves in high demand in academia, industry and government.
U of A computer science and engineering graduate students create the technology that runs our world, leading to highly lucrative careers in virtually any field they choose.
Here, you do not participate in research. You drive it, creating new technology that changes lives for the better. From communications and signal processing to advanced computer systems and networks, tap into a flexible curriculum and choose the focus of your PhD or MS, including an online master's degree geared to working engineers.
Questions? For more information on the UA ECE and CSE graduate programs contact gradadmissions@ece.arizona.edu.
Highlights of the UA Electrical & Computer Engineering and Computer Science & Engineering graduate programs include:
- Wide spectrum of interdisciplinary research
- Highly ranked programs
- Robust entrepreneurial community
- Strong industrial ties
- Tech and bioscience hotspot
- Globally recognized faculty
- Funding throughout degree lifecycle
High-Profile, Interdisciplinary Research
U of A Electrical and Computer Engineering and Computer Science and Engineering graduate programs unite faculty and students from diverse disciplines and provide a number of high-profile research opportunities in the following focus areas:
- Artificial Intelligence and Machine Learning
- Autonomous Systems and Robotics Communications
- Biomedical Technologies
- Circuits, Microelectronics and Very-Large Scale Integration
- Communications, Coding and Information Theory
- Computer Architecture and Cloud/Distributed Computing
- Optics, Photonics and Terahertz Devices and Systems
- Quantum Information Science and Engineering
- Signal, Image and Video Processing
- Software Engineering and Embedded Systems
- Wireless Networking, Security and Systems
Student in the Spotlight
Artificial Brains for Real Inspiration
ECE doctoral student Kama Svoboda earned a U of A graduate fellowship and researches Spiking Neural Networks, an artificial intelligence that mimics the human brain.
"As a research scientist, my goal is to be a positive role model and mentor, especially for other women in STEM."
Featured Videos
Extreme Resolution
with professor Michael Marcellin
Surgical Trainer
with professor Jerzy Rozenblit
Smarter Hexapod
with grad student Matt Bunting
Retinal Implants
with associate professor Wolfgang Fink
Rankings
Top 20
U. S. public research institution
(National Science Foundation and Times Higher Education)
4.5 out of 5
best graduate school programs
(Money Magazine)
Top 25%
online computer engineering graduate program, public schools
(U.S. News & World Report)