MS in Electrical Engineering
University of Southern California



About University of Southern California

The University of Southern California is a private research University which was founded in 1880, making it California’s oldest private university. USC is involved in very high level research activity and thus has quickly risen up the ranking.
It may interest you that although USC claims that their students hail from 112 countries, but it feels a lot like India once you’re there.


OVERVIEW OF Electrical Engineering
AT University of Southern California (USC)


Popularity of Electrical Engineering course from University of Southern California on Yocket. Check profiles of students who have applied, got admits or are interested in applying to this course.

Tuition Fee
$61,545

STEM Course
The MS in Electrical Engineering at USC is a government-designated STEM degree and so international students may be eligible for the 24-month F1 OPT (optional practical training) extension.

Course Duration
24 months



AVERAGE PROFILE OF ADMITS
BASED ON PAST YOCKETERS ADMITTED


GRE

317


TOEFL

102


UG Score

9 CGPA


Work Ex

11 months

UPCOMING DEADLINES
USC Electrical Engineering

N.A.


DECISION DATES*

Fall: 11 May | Spring: 16 Oct |
*Estimate based on previous dates reported by Yocketers


Course Description

Master of Science program at USC is one of the largest in the nation. Emphasis is put on leadership and entrepreneurial skills to prepare students for the world. The MSEE program has the following “like areas” that students can concentrate their studies: Communications, Computer Network; Computer Architectures; Controls; Electric Power Systems; Electromagnetics; Optics; Photonics; Mind-Signal Integrated Circuits; VLSI/CAD; Data Science and Engineering; and Signal and Image Processing.

Courses: Check out the full list of courses using USC’s catalogue. The following are some examples of courses that can be taken in the MSEE program:

  • Parallel and Distributed Computation
  • Introduction to System-on-Chip
  • Introduction to Computer Networks
  • Immersive Audio Signal Processing
  • Broadband Network Architectures
  • VLSI System Design
  • Advanced DSP Design Laboratory
  • Wavelets and Graphs for Signal Processing and Machine Learning
  • Advanced Topics in Automatic Speech Recognition
  • Multimedia Data Compression



Eligibility and Application Requirements

  • CV/Resume
  • Undergraduate degree in engineering, math or hard science from a regionally-accredited university.
  • Satisfactory cumulative undergraduate GPA (grade point average)
  • Satisfactory GRE test scores. All scores must be officially reported to the university directly by ETS.





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AT University of Southern California