Master's Degree in Computer Science in New York in USA

Compare Masters Programs in Computer Science 2017 in New York in USA

Computer Science

A Masters degree is an academic degree awarded to individuals who successfully denote a higher level of expertise. There are two main types of Masters - taught and research.

There are several fields that make up the broader field of computer science. One of these fields is the computational complexity theory, which can be very abstract. Other fields, such as computer graphics, deal more with concrete and hands-on visuals.  

 

The USA remains the world’s most popular destination for international students. Universities in the US dominate the world rankings and the country also offers a wide variety of exciting study locations. State university systems are partially subsidized by state governments, and may have many campuses spread around the state, with hundreds of thousands of students.

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.

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Master in Computer Science

Cornell Tech
Campus Full time 1 year September 2017 USA Chelsea

The technology field is increasingly fast-paced and entrepreneurial, and the most successful developers and programers are the ones who understand how technology turns into product. Our CS masters degree will give you that understanding. [+]

Masters in Computer Science in New York in USA. Master in Computer Science Technology exists to meet human needs and solve human problems. And today's technology-driven start-ups need engineers and computer scientists who also understand the business side of bringing innovative solutions to market. Cornell Tech's Master in Computer Science will give students the technical skills needed to develop cutting edge solutions while exposing them to entrepreneurship and product management. Learn Through Cross-Disciplinary Collaboration No matter where you apply your computer science and engineering skills, you'll most likely be working in collaboration with product and project managers, sales and marketing executives, even lawyers. Your success will depend on your ability to speak their language, to see how your technological expertise fits into the greater whole of the company, and to draw inspiration from every part of the business. In Cornell Tech's Master in Computer Science program, you'll not only get a rock solid technical education, you'll learn side-by-side with business and law students as well as other technology students. You'll work together in teams to develop your own business in the Startup Studio and develop innovative solutions for real business clients as part of your Company Challenge in Product Studio. In the process, you'll develop the kind of business savvy and communication skills—as well as peerless technical know-how—that have made previous graduates prime recruiting targets of companies like Google, Facebook, and numerous startups. Who Should Apply? You should apply to Cornell Tech's Master in Computer Science if you have an academic background in computer science or a related technical field, a strong entrepreneurial streak, and a passion to lead in the tech industry. If you do not have a technical academic background, you should have taken courses in software engineering and linear algebra and have working knowledge of data structures and algorithms. A Master of Engineering in Computer Science is also offered on Cornell's Ithaca campus with more opportunities for elective courses than Cornell Tech’s entrepreneurship and product development focused studio curriculum. Learn more. Topics Covered Machine Learning Data Science Computer Security & Privacy Computer Vision NLP HCI Systems (Computer) FEATURED COURSE Applied Machine Learning Credits 3.00 This course will help students learn and apply key concepts of modeling, analysis and validation from Machine Learning, Data Mining and Signal Processing to analyze and extract meaning from data. Students will implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. They will also gain a working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, association rule mining and dimensionality reduction. Careers in the Field Software Developer Product Manager Data Scientist Startup Founder or CTO Curriculum The Master in Computer Science curriculum includes a variety of rigorous courses that will give you the the skills you need to develop digitally enabled solutions to emerging business challenges and human needs. 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 you’ll take Startup Systems Engineering and technical electives like Applied Machine Learning, Security & Privacy in the Wild, and Physical computing. In the afternoons you’ll work on team-based projects in Product Studio and Startup Ideas and learn firsthand from industry leaders in Conversations in the Studio. In the spring you’ll take technical electives like Data Science in the Wild, Natural Language Processing, HCI & Design or business electives like Design Thinking and Disruptive Tech. In the afternoons, you’ll pursue team-based projects in Startup Studio and Product Management. MEng 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 2016-2017 application deadlines for Computer Science are as follows: Round 1 - October 3, 2016 Round 2 - January 20, 2017* Round 3 - March 3, 2017 *Scholarship: To be considered for a merit-based scholarship, applicants are strongly encouraged to apply by the January 20th Round 2 application deadline. ** Complete applications received by April 10, 2017 will still be given full consideration for admission, capacity permitting; but applicants are encouraged to submit their applications as early as possible.Submitting applications early ensures early response. Application Requirements To be considered, all applicants must provide the following in their online application: Résumé 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 on substantial projects. Recommendations must be submitted online. GRE 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 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 Transcripts 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. TOEFL 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. [-]

MS Computer Information Systems

College of Saint Rose
Campus Full time 3 semesters January 2017 USA Albany

A deeper understanding of information systems can only enhance your career prospects. [+]

A deeper understanding of information systems can only enhance your career prospects. You’ll gain skills in technical communication and teamwork—which are in great demand among employers—as well as advanced knowledge of data structures, computer architecture, database management systems, data communications, user interface design, and software engineering. Program Overview The Master of Science in Computer Information Systems is a Professional Science Master’s (PSM) degree program that presents students with an applied education in advanced topics associated with computer science, computer engineering, and information systems. Our program is endorsed by the National Professional Science Masters Association (NPSMA). The program is designed for students with some experience in computer technology and programming, who wish to advance their technical skills and knowledge, and who also wish to improve their communication and business skills. The goal of the program is to produce graduates who are technically proficient in their field and capable of working successfully in government and business. All students must take six required courses in areas that are central to computer information systems. These areas are data structures, computer architecture, database management systems, data communications, user interface design, and software engineering. All students must also take two courses in a chosen area of specialization and complete a master’s project in this area, under the supervision of a department faculty member. The current areas of specialization include Internet Programming, Bioinformatics, Database, and Parallel and High-Performance Computing. Surveys reveal that employers want their technical employees to be able to communicate well, work well in teams, and be able to work and communicate successfully with people from many cultures in an increasingly global workplace. Therefore, all students are required to take a course in technical communication in order to foster these skills. In addition, the department seeks to build communication and team skills throughout all courses throughout our master’s program. General Admission Information Eligibility for admission to The College of Saint Rose graduate programs is typically based upon the following minimum requirements: Submission of a completed application and a Statement of Purpose of approximately 300 words detailing the applicant’s goals for graduate study. Evidence of the possession of a baccalaureate degree from an accredited institution through submission of official transcripts from all undergraduate and graduate institutions attended Academic and professional qualifications for graduate study, as indicated by two letters of recommendation. A grade point average of 3.0 (on a 4.0 scale), overall and in the undergraduate major. Demonstration of English proficiency: Send us your TOEFL, IELTS, or PTE scores. The testing requirement is waived for applicants who have previously earned a bachelor’s or master’s degree in the United States. The College of Saint Rose offers English as a Second Language (ESL) studies and offers conditional acceptances to those who meet all other admission requirements. Conditionally accepted students must show English proficiency before enrolling in their coursework. Other admission criteria specified by academic programs such as submission of resumes, writing samples, portfolios, test scores, and participation in interviews or admissions workshops. Computer Information Systems Admission Information A student seeking admission to the program must fulfill all general requirements for admission to graduate study. In addition to meeting these criteria, all students must have either a grade point average of 3.0 or better in their undergraduate work or present a portfolio of professional work to be evaluated by the faculty of the Computer Science department. All students are expected to complete the following prerequisite courses with a grade of B or better: CSC 202 Introduction to Programming or CSC 522 Object-Oriented Programming CSC 302 Data Structures or CSC 523 Advanced Programming CSC 321 Database Management Systems or CSC 520 Introduction to Database One or more of the above prerequisite courses may be waived for students who have completed equivalent coursework at an accredited institution and have earned a B or better. Prerequisite courses do not count towards the 33 credit total required for the degree. All students must have at least nine credits in undergraduate mathematics courses. [-]