University of Southern California  
University of Southern California
DEN Home Page
  Academic Programs Home Contact Us Help

Resources
Why USC?
Admission & Enrollment
Getting Started
Technical Requirements
FAQ
Request Information


USC Viterbi School of Engineering

Electrical Engineering

Master of Science
Program Description Specialization Tracks
Application Criteria Course Descriptions
Graduation Requirements How to Apply
  Contact Information


Program Description [back to top]

Graduates of the Master of Science in Electrical Engineering will have the professional skills necessary to compete effectively in a world of rapid technological change as well as to assume leadership roles within industrial, entrepreneurial, academic or governmental environments in the broad context of electrical engineering. 

The Ming Hsieh Department of Electrical Engineering is known for research and academic leadership in innovative areas such as: adaptive and reconfigurable mixed signal integrated circuits; antenna networks; bio-signal processing; computer architecture; very-large-scale integration (VLSI) and computer-aided design (CAD); computer networks; control systems; high speed switching architectures; signal, image and multimedia processing; nanotechnology; optical communications; photonics; and quantum information processing.

Under “Specialization Tracks” you will find flowcharts for the major areas of study in each EE division.  These flowcharts indicate recommended course sequences. Please contact the academic advisor for the division if you have any questions about course requirements.




Application Criteria [back to top]

  • Bachelor of Science degree in engineering, math or science from a regionally-accredited institution

  • Graduate Record Examination scores (less than five years old)

  • International students whose native language is not English must earn a satisfactory score on the TOEFL (600 on the paper-based test; 250 on the computer-based test) or take the on-campus International Student English Examination (ISE) prior to initial registration.

 

ADMISSION STATISTICS**

  • Average undergraduate cumulative GPA of students newly enrolled in USC graduate engineering programs is 3.37 (4.00 scale)

  • Average GRE scores of students newly enrolled in USC graduate engineering programs is Quantitative 749 and Verbal 478


** These scores are averages.  Students with scores both above and below these averages were both admitted and not admitted.  The
Viterbi School reviews all applications comprehensively and evaluates applicants on the entire application file with an emphasis on undergraduate institution, GPA, grades earned in pre-requisite courses and GRE scores.





Graduation Requirements [back to top]

A minimum of 27 units is required for the USC M.S. in Electrical Engineering degree.

 

  • Minimum number of units in electrical engineering: 18 units (those not in EE are subject to written advisor approval and must be technical in nature)

  • Minimum number of units in the Viterbi School of Engineering: 21 units

  • No more than 9 units at the 400 level may be counted toward the degree - the remaining units must be taken at the 500 or 600 level

  • To achieve a degree of breadth in their program, students are encouraged to take two technical courses outside their area of specialization but within EE

  • A minimum cumulative GPA of 3.00 is required for graduation. 


Thesis Option: With the approval of a supervising professor, qualified students may be allowed to pursue a thesis option. For more information, please refer to the USC Catalogue.





Specialization Tracks [back to top]


The EE-Systems division offers the Master of Science in Electrical Engineering with the following specialization tracks (Click on track name to view Flowcharts and Course Descriptions):


The EE- Electrophysics division offers the Master of Science in Electrical Engineering with the following specialization tracks (Click on track name to view Flowcharts and Course Descriptions):



Course Descriptions [back to top]



Course Units
  • EE401 - Transform Theory for Engineers
  • 3
  • EE402 - Design of Analog and Digital Filters
  • 3
  • EE441 - Applied Linear Algebra for Engineering
  • 3
  • EE450 - Introduction to Computer Networks
  • 3
  • EE457Lx - Computer Systems Organization
  • 3
  • EE464 - Probability Theory for Engineers
  • 3
  • EE465 - Probabilistic Methods in Computer Systems Modeling
  • 3
  • EE469 - Introduction to Digital Media Engineering
  • 3
  • EE470 - Electromagnetics II
  • 3
  • EE474 - Introduction to Photonics
  • 3
  • EE477L - MOS VLSI Circuit Design
  • 4
  • EE482 - Linear Control Systems
  • 3
  • EE483 - Introduction to Digital Signal Processing
  • 3
  • EE500 - Neural and Fuzzy Systems
  • 3
  • EE517 - Statistics for Engineers
  • 3
  • EE519 - Speech Recognition and Processing for Multimedia
  • 3
  • EE521 - Power Systems
  • 3
  • EE529 - Optics
  • 3
  • EE530 - Optical Materials, Instruments and Devices
  • 3
  • EE531 - Nonlinear Optics
  • 3
  • EE533a - Mixed-Signal VLSI Systems Design
  • 3
  • EE533b - Mixed-Signal VLSI Systems Design
  • 3
  • EE535 - Mobile Communications
  • 3
  • EE536b - Integrated Circuit Analysis and Design
  • 3
  • EE538 - Spread Spectrum Systems
  • 3
  • EE540 - Introduction to Quantum Electronics
  • 3
  • EE541 - RF Filter Design
  • 3
  • EE543aL - Digital Control Systems
  • 3
  • EE543bL - Digital Control Systems
  • 1
  • EE544 - RF Systems and Hardware
  • 3
  • EE549 - Queuing Theory for Performance Modeling
  • 3
  • EE550 - Design and Analysis of Computer Communication Networks
  • 3
  • EE551 - Principles of Radar
  • 3
  • EE552 - Logic Design and Switching Theory
  • 3
  • EE553 - Computational Solution of Optimization Problems
  • 3
  • EE554 - Real Time Computer Systems
  • 3
  • EE555 - Broadband Network Architectures
  • 3
  • EE557 - Computer Systems Architecture
  • 3
  • EE558 - Optical Fiber Communication Systems
  • 3
  • EE559 - Mathematical Pattern Recognition
  • 3
  • EE562a - Random Processes in Engineering
  • 3
  • EE562b - Random Processes in Engineering
  • 3
  • EE563 - Estimation Theory
  • 3
  • EE564 - Communication Theory
  • 3
  • EE565a - Information Theory
  • 3
  • EE565b - Information Theory
  • 3
  • EE566 - Optical Information Processing
  • 3
  • EE567 - Communication Systems
  • 3
  • EE568 - Error Correcting Codes
  • 3
  • EE569 - Introduction to Digital Image Processing
  • 3
  • EE570a - Advanced Electromagnetic Theory
  • 3
  • EE570b - Advanced Electromagnetic Theory
  • 3
  • EE571a - Microwave Networks
  • 3
  • EE571b - Microwave Networks
  • 3
  • EE573a - Antenna Analysis
  • 3
  • EE573b - Antenna Analysis
  • 3
  • EE577a - VLSI System Design
  • 3
  • EE577b - VLSI System Design
  • 3
  • EE580 - Optical Communications
  • 3
  • EE582 - Technical Seminar on VLSI Design
  • 1
  • EE583 - Adaptive Signal Processing
  • 3
  • EE584 - Chaotic Systems
  • 3
  • EE585 - Linear System Theory
  • 3
  • EE587 - Nonlinear and Adaptive Control
  • 3
  • EE588 - Linear Quadratic Control
  • 3
  • EE589 - Statistical Optics
  • 3
  • EE593 - Multivariable Control
  • 3
  • EE595 - Algebraic Coding Theory
  • 3
  • EE596 - Wavelets
  • 3
  • EE597 - Microsystems Technology for Multimedia
  • 3
  • EE599 - Special Topics
  • 2
  • EE619 - Advanced Topics in Automatic Speech Recognition
  • 3
  • EE650 - Advanced Topics in Computer Networks
  • 3
  • EE657 - Parallel Processing
  • 3
  • EE658 - Diagnosis and Design of Reliable Digital Systems
  • 3
  • EE659 - Interconnection Networks
  • 3
  • EE663 - Satellite Communications
  • 3
  • EE664 - Advanced Topics in Communication Theory
  • 3
  • EE666 - Data Communication
  • 3
  • EE667 - Array Signal Processing
  • 3
  • EE669 - Selected Topics in Digital Image Processing
  • 3
  • EE680 - Computer Aided Design of Digital Systems I
  • 3
  • EE681 - Computer-Aided Design of Digital Systems II
  • 3
  • EE683 - Modern Spectral Analysis
  • 3
  • EE689 - Optical Computing Systems
  • 3


    Please note that the courses listed above are those available via DEN. Additional course choices are available on campus. Please consult the department website for a complete list of options.


    How To Apply [back to top]

    In order to evaluate any application for admission, application materials must be submitted by the deadlines listed:



    June 15th Fall admission
    October 1st Spring admission


    Click here to complete the USC graduate application.

    Please arrange to have the following sent to the USC Office of Admission as a hard copy (USC Graduate Office of Admission, University Park Campus, Los Angeles, CA  90089-0915):

    • Official Transcript(s) from all post-secondary schools you have attended, and official translations if they are not in English.

    • General GRE scores (no older than 5 years). Official scores must be sent through ETS to the University of Southern California, ETS code 4852)

    • TOEFL scores (required for international students)


    NOTE:  If you meet our minimum qualifications, you can get started BEFORE you are formally admitted to USC, as a "LIMITED" student! Click here for more information.



    Contact Information [back to top]

    For the USC Ming Hsieh Department of Electrical Engineering:


    Diane Demetras
    Student Services Advisor
    Electrial Engineering-Systems
    Tel: (213) 740-4447
    Fax: (213) 740-4449
    Email: demetras@usc.edu

     

    Jaime Zelada

    Student Services Advisor

    Electrical Engineering - Electrophysics

    Tel: (213) 740-4696

    Fax: (213) 740-8677

    Email: zelada@usc.edu



    For the USC Distance Education Network

    Maria Mansfeld
    Student Services Advisor

    USC Viterbi School of Engineering Distance Education Network (DEN)
    Tel: (213) 740-4832
    Fax: (213) 821-0851
    Email: info@den.usc.edu


     
    :: USC :: USC Catalogue :: USC Oasis ::
    :: Schedule of Courses :: Viterbi School of Engineering :: DEN Professional Development ::
    Copyright University of Southern California. Unauthorized use by Duplication, Preparation of Derivative Works, or Distribution is illegal and punishable by law.