Master in Electrical and Computer Engineering


Program Description

Master in Electrical and Computer Engineering

Develop the Technology of Tomorrow. Cornell Tech's Electrical & Computer Engineering Masters combines Cornell University's academic rigor with the energy and opportunity that come with studying in the heart of New York's tech start-up community.

The Master of Engineering in Electrical & Computer Engineering at Cornell Tech is a year-long immersive program designed to teach engineers, scientists and quantitative analysts important state-of-the-art methods in signal processing, data science, and decision theory. The courses in this program will teach you to think like an entrepreneur, work on cross-disciplinary teams and create a portfolio of work relevant to today's digital technology.

Exciting developments in machine learning, sensor technology, and signal and image processing are creating new opportunities for engineers and computer scientists with the advanced technical skills and entrepreneurial mindset to turn those developments into new products and services. Cornell Tech's Master in Electrical & Computer Engineering will help you gain the knowledge, hands-on experience and professional network you need to excel at the intersection of entrepreneurship, creativity, and digital technology.

Learn Cutting-Edge Skills in Startup Culture

The most successful new technologies and startups develop when technologists, designers, and entrepreneurs collaborate. Cornell Tech has taken that collaborative model of product development and applied it to our degree programs. Your classroom-based courses, taught by expert faculty with deep industry experience, complement project-based experiences that will have you working in teams with students from Cornell Tech's other technical degree programs as well as our LLM and MBA programs. You'll develop your own business in Startup Studio and create innovative solutions for real business clients as part of Product Studio. In the process, you'll develop the business savvy, communication skills and exceptional technical prowess you need to attract attention from the world's most innovative companies and ambitious startups.


Who Should Apply?

You should apply to Cornell Tech's Master in Electrical & Computer Engineering if you have a passion for technology--especially robotics and machine learning--and an entrepreneurial spirit. You should also have an academic background in electrical and computer engineering, mechanical engineering, computer science, physics, applied mathematics or a related technical field. That background should include coursework in signals and systems, linear algebra, scientific programming, and probability and statistics.

Topics Covered

  • Signal Processing
  • Machine Learning
  • Feedback Systems
  • Physical Computing
  • Sensing
  • Data Science
  • Decision Theory
  • Machine Learning and Computational Tools


Feedback Systems and Reinforcement Learning

Credits 3.00

This core ECE course covers digital control systems, Markov decision processes, and reinforcement learning algorithms. The first half of the course covers the fundamentals of modern digital control systems, including state space models and their analysis, state variable feedback and the basics of system identification. The second half of the course deals with Markov decision processes with applications in social sensing and communication systems. The topics covered include stochastic dynamic programming, simulation-based optimization, and reinforcement learning algorithms. Throughout the course, applications in discrete event systems and machine learning will be emphasized.

Signal and Data Processing

Credits 3.00

This core ECE course covers the basics of signal processing and data analysis. The first half of the course covers the fundamentals of signals and systems, including the discrete Fourier transform, transfer functions, adaptive filtering and applications in noise cancellation and communication systems. The second half covers the basics of probabilistic models, stochastic simulation Markov processes, and Bayesian inference. Finally, topics in high dimensional signal processing including model selection, sparse signal processing, and principal component analysis are covered. Throughout the course, applications in communication systems, sensing systems, and machine learning will be emphasized.

Careers in the Field

  • Data Scientist.
  • Financial Modeler.
  • Startup Founder or CTO.
  • Research Engineer.
  • Social Network Analyst.


includes a variety of rigorous courses that will give you advanced skills in machine learning, signal processing, computer modeling and other cutting-edge disciplines.

In an educational innovation unique to Cornell Tech, you'll also participate in an immersive Studio experience, in which you'll hone your team-building and leadership skills while developing a new product idea in response to the strategic needs of a real organization and create your own startup.

What Your Schedule Might Look Like

In the fall students must complete a total of 30 credit hours over two semesters. Core courses must total a minimum of 12 credits.

In the spring Students must complete a total of 30 credit hours over two semesters. Core courses must total a minimum of 12 credits. During the Spring Semester, Physical Computing and Bayesian Estimation & Learning are required courses. You will be able to choose between five and six credits from the other Technical Courses.

M.Eng Application Timeline

Cornell Tech offers three application rounds. Applicants are encouraged to submit their application when ready. We will consider applicants that apply in each application round. We review applications as we receive them.

The 2017-2018 application deadlines are as follows:

Round 1 - Tuesday, December 5, 2017 at 11:59 pm ET

Round 2 - Thursday, January 18, 2018 at 11:59 pm ET

Round 3 - Thursday, March 15, 2018 at 11:59 pm ET

Following the Round 3 application deadline, the Admissions Committee will review applications on a rolling basis and release decision accordingly until Monday, April 30, 2018

Application Requirements

To be considered, all applicants must provide the following in their online application:


You must submit a current résumé along with your application. With the use of LinkedIn, you will have the option to auto-populate the employment and education information listed within your online professional profile. Please note, any information that is auto-populated from LinkedIn can be edited.

Personal Statement

Here at Cornell Tech, you will be part of an environment where creativity, technical depth and leadership share seats at the table. We value expressions of who you are and what you add to this formula. Please submit a one- to two-page statement that describes your interest in this program at Cornell Tech. Your submission should highlight personal experiences that demonstrate your creativity, leadership and technical abilities.

In particular, feel free to elaborate on technical projects you have completed, their creative and technical aspects; any entrepreneurial or leadership experiences; your professional career goals; the benefit you envision being part of the tech ecosystem in New York City; and, why this program is the one for you.

Two Recommendations

Recommenders should be faculty members or other individuals who know the applicants professionally and have seen them play a major role in substantial projects. Recommendations must be submitted online.


The GRE is required for admission to Cornell Tech. All official test scores should be reported directly to Cornell University. Students who have received (or will have received) a Bachelor degree from Cornell University are exempt from the GRE requirement for the Master of Engineering program. The GRE institution code for Cornell is 2098. Please be consistent in the spelling of your name on both your application and test score report.


Transcripts from each previously attended college or university are required and must be uploaded online with the application. Admitted students will be required to submit an official transcript directly to Cornell University Graduate School prior to matriculation.

Application Fee

A nonrefundable application fee of $95 must be submitted with the online application.

International Applicants


In addition to the aforementioned program requirements, international applicants must provide a certified English translation of transcripts if the original language is not English. Successful international applicants will have received a baccalaureate degree from a college or university of recognized standing.


Applicants must also demonstrate proficiency in the English language by taking the Test of English as a Foreign Language (TOEFL). Official TOEFL scores must be sent to the Cornell University Graduate School. The institution code is #2098. Cornell’s official minimum sub-scores for each element of the TOEFL are as follows:

  • Writing: 20
  • Reading 20
  • Listening 15
  • Speaking 22

The TOEFL requirement may be waived if the applicant meets at least one of these criteria:

  • Is a native citizen of the United States, Australia, Canada (except Quebec), Ireland, New Zealand or the United Kingdom.
  • Has studied in full-time status for at least two academic years within the last five years in the United States, Australia, Ireland, New Zealand, the United Kingdom, or with English language instruction in Canada or South Africa. You must submit a transcript that shows you have attended college in one of these approved locations.
Last updated Jan 2019

About the School

Cornell Tech is a revolutionary model for graduate education that fuses technology with business and creative thinking. Cornell Tech brings together like-minded faculty, business leaders, tech entrepr ... Read More

Cornell Tech is a revolutionary model for graduate education that fuses technology with business and creative thinking. Cornell Tech brings together like-minded faculty, business leaders, tech entrepreneurs and students in a catalytic environment to produce visionary ideas grounded in significant needs that will reinvent the way we live. Read less