A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.
A Master’s degree in Computer Engineering focuses in giving students the ability to deploy powerful and efficient systems in a variety of fields. These include data acquisition, automation manufacturing and communications. It makes and emphasis on the practical applications of both software and hardware design.
Education in the United States is mainly provided by the public sector, with control and funding coming from three levels: state, local, and federal, in that order. The common requirements to study at a higher education level in United States will include your admissions essay (also known as the statement of purpose or personal statement), transcript of records, recommendation/reference letters, language tests
New York is northeastern and 3rd most populous state of US. Statue of Liberty, Niagara Falls and General Shuylers House at Saratoga National Historic Park are among the most visited places by the university/college level students. Public university system of the state includes 68 Communities, technical, undergraduate, doctor-granting colleges. There are many private colleges in the province as well.
Request Information Master's Degrees in Computer Engineering in New York in USA 2018
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. [+]
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.... [-]