Our department offers the Ph.D., Master's, and Engineer's degrees to students who are looking for full-time graduate study. The Electrical Engineering department's degrees are highly flexible, and allow students a wide range of options in the courses they study. Information on each degree's specific requirements can be found in the Electrical Engineering Graduate Handbook. The PhD degree is offered exclusively as a full-time program. Students applying to full-time programs are eligible for financial aid in the form of fellowships; students in full-time programs who have attended Stanford for at least one (1) quarter are eligible for Research and Teaching Assistantships.
Eligibility
Applicants from colleges and universities of recognized standing who hold a U.S. bachelor’s degree or its equivalent, or are anticipating conferral of the degree prior to admission, are eligible to be considered for admission to matriculated graduate study at Stanford University.
International students should carefully read the International Academic Credentials section before they begin their application to the EE department.
Applicants may only apply to one graduate program in an academic year.
How to Apply
Applications for full-time study toward the M.S., Ph.D. and Engineer's degrees are accepted for Autumn quarter start only. The deadline for submitting an application for Autumn quarter 2013 is December 18, 2012. All applicants will be notified of admission decisions, via email, in early March 2013.
The online application will become available in mid-September, and may be found on the central Office of Graduate Admissions website.
Students can choose to study within the following areas of specialization:
- Integrated Electronic Systems Technology
- MEMS, Sensors, Actuators
- Circuits
- Devices
- Bio-EE
- Instrumentation
- Imaging
- Analysis
- Photonics/EM/Quantum
- Photonics
- Nano
- Quantum
- Communication
- Imaging
- Radio
- Information Systems
- Information Theory and Coding
- Communications
- Control & Optimization
- Signal Processing
- Stochastic Systems
- Hardware/Software Systems
- Networking
- Architecture/VLSI
- Software
- Energy/Environment
- Distributed Control/Optimization
- Environmental Monitoring
- Devices
-
