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Master of Science in Electrical Engineering

Student in MS in Electrical Engineering program studying

Learn the fundamentals of mathematics, science, and engineering, and perfect the industry skills for working in one of the most innovative fields in the world, with a Master’s in Electrical Engineering degree from ITU. Your path to a fruitful Silicon Valley career begins with ITU, which offers a truly practical education in Electrical Engineering, and allows you the opportunity to work with cutting edge EDA tools. You will also get to learn from professors who are leaders in their field, coming from companies like Cadence, Intel, IBM, and SanDisk, as well as your peers, who come from some of the best universities around the world.

Why You Should Apply

As an ITU Electrical Engineering student, you can:

  • Concentrate on some of the most exciting technologies in the world today, such as VLSI Design, Analog, MEMS & RF IC Design, Signal Processing & Communication, and System Design.
  • Implement design specifications, solve engineering problems through analysis, experimentation, and verification of ideas and concepts.
  • Conduct research in ITU’s laboratory facilities in Artificial Intelligence, Embedded Systems, Green Energy, Bioelectronics, and System-on-Chip.
  • Work with cutting-edge industry tools and the latest licensing, which allows you to get hands-on research experience, and get involved in exciting project such as designing your own computer chip.

Course Sampling

  • Embedded System Design
  • Digital Design in HDL
  • Script Languages & Applocations
  • Digital Signal Processing & System Analysis

What You Will Learn

One of the most popular aspects of ITU’s Electrical Engineering program is the practical projects students can take part in. Courses like System-on-Chip Design and IC Design to Silicon apply processes in VLSI architectures, systolic arrays, self-timed systems, system verification, design flow, and implementation, to give you a truly immersive education in one of the most important types of technology in the world today. Combined with lab work, this allows ITU students to design and create their own fully functioning computer chip.

Building Your Career in Electrical Engineering

At ITU, our internship and internship learning programs give you the chance to use your new skills and get ahead in your career.

You can identify your career goals with one-on-one guidance, industry workshops, job placement strategies, and networking opportunities. These expert-led programs offer you the necessary help to succeed beyond the classroom.

What Our Students Say

Vince Chen graduated from ITU in 2014, with his Master’s in Electrical Engineering degree, and quickly found a job at Silicon Valley tech giant, OmniVision Technologies, the leading provider of advanced digital imaging solutions for companies like Apple and HTC. Formerly a researcher in ITU’s Artificial Intelligence lab, Chen began his new engineering job just after finishing his degree, and soon discovered the merits and practicality of an ITU degree:

“ITU’s education is tightly related to the industry in Silicon Valley. The courses I took taught me the requirements of industry, which was very helpful in my career development. ITU also give me the
chance to be in touch with most cutting edge technologies.”

Meet Some of Our Great Faculty

Dr. Dominik Schmidt is the Director of ITU’s Bioelectronics Research Lab. Previously Senior Director of Technology Development at Intel, he has co-founded 3 companies, including Airfly Communications, which was acquired by Intel, & has more than 80 patents granted or pending.

Qualifications: BS in Electrical Engineering & Materials Science, UC Berkeley. Master’s Degrees in Electrical Engineering & Technology Management, Stanford. PhD in Electrical Engineering, Stanford.

Dr. John Ye leads SoC research at ITU. An expert in VLSI high-speed circuit design, SoC & embedded systems, he has worked in engineering leadership roles in Camel Microelectronics, Fortemedia, Kilopass Technology, NEC Electronics & Trident Microsystems.

Qualifications: BS in Physics, Fudan University. MS in Computer Engineering & PhD in Solid-State Physics, University of Southern California.

Admission Requirements

  • Sealed official transcripts from all universities attended
    • Minimum cumulative undergraduate GPA of 2.75 or graduate GPA of 3.0, on a 4.0 scale. Transcripts, listing courses taken and grades received, must be mailed directly from the institution or through a verified e-Transcript provider. International Students please review additional requirements listed below.
  • Statement of purpose (500-750 words)
    • Please describe why you are interested in the intended program of study, and how you hope to use this education to achieve your future goals.
  • Resume demonstrating relevant work or volunteer experience
    • Two pages maximum.
  • GRE or GMAT scores
    • Recommended. Scores must be sent directly from the testing center.
  • Two letters of recommendation
    • Recommended. Required if minimum GPA is not met. Letters should speak to the student’s professional and academic experience and potential to succeed in graduate school.

International Applicants

Application Deadlines
Fall (Classes start September)August 15
Spring (Classes start January)December 15
Summer (Classes start May)April 15

Program Requirements

  • Required Courses
    • 4 Core Courses: 12 Credit Hours
    • Capstone Project: 3 – 6 Credit Hours OR Master Thesis: 3 Credit Hours (Approval is required) OR Master Thesis: 6 Credit Hours (Publication is required)
    • Internship: 1 Credit Hour
  • Elective Courses: 12 – 20 Credit Hours
    • Minimum 6 Credit Hours in Electrical Engineering.
    • Cross Disciplinary (MBA, EM, or DA) Electives: Up to 3 Credit Hours. Any course of EE, CE, SE or CS can be chosen as elective.
    • Transfer Credits: Maximum 9 Credit Hours can be transferred from a regionally accredited graduate school with department chair’s approval.
    • Internship: 1 – 9 Credit Hours.
  • 36 Total Credit Hours
  • Core Courses
    • CEN 508 Scientific Computing OR CEN 510 Algorithms and Data Analysis OR CSC 580 Computer Algorithms
    • EEN 500 Electrical Engineering
    • EEN 511 VLSI Design
    • EEN 541 Digital Signal Processing and System Analysis
  • Capstone Course or Thesis
    • CEN 643 Advanced Digital Image Processing
    • EEN 627 IC Design to Silicon
    • EEN 646 Embedded System Design
    • EEN 698 Master Thesis I
    • EEN 699 Master Thesis II
Fee Structure
Program Tuition*$21,600
Fees**$1,709
Insurance Premium***$1,994.24
Total****$25,303.24
* Based on 36 Credit Hours.
** Fees are subject to change.
*** May be waived if student has equivalent insurance coverage.
**** For a full-time student, graduating in four trimesters, including one-time and per trimester fees. Actual total tuition will vary based on each student’s course of study.

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Last modified: May 12, 2017