Overview
Over the years, the department’s faculty members have conducted a wide range of research in computer science and have received external funding from such federal agencies as the National Science Foundation, National Institutes of Health, and Department of Defense, as well as from corporate sources. Research interests of the current faculty include algorithms, artificial intelligence, computational linguistics, distributed computing, database systems and information retrieval, computer vision, image analysis / processing, cryptography, computational algebra, and the Internet of Things.
The Department’s multiplatform computing infrastructure consists of 3 class-C subnets, numerous routers and switches, scores of computing, storage and other shared resource servers, and hundreds of desktops and laptops in our instructional labs and faculty research labs.
Curriculum
The Master of Arts in Computer Science requires a total of 30 graduate credits, including courses in four areas of study: software, theoretical foundations, hardware, and mathematical applications & algorithms. The degree requirements are specified below in detail in the Guide for New Master’s Students and the Graduation Checklist sections below.
The software area is the primary focus of the program. Examples of course offerings in this area are courses on fundamental algorithms, database systems, distributed software systems, image processing, computer vision, information organization and retrieval, advanced C++, cloud computing, natural language processing, and artificial intelligence. The program also offers many courses in the mathematical applications & algorithms area, such as courses on machine learning, modeling and simulation, data mining, algorithms for Big Data, data analytics, numerical methods, cryptography, and genetic algorithms.
Programme Structure
Courses include:
- Algorithms
- Software Design
- Database Systems
- Distributed Computing
- Computer Graphics
- Computability and Complexity
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- New York City, United States
Disciplines
Computer Sciences Data Science & Big Data Software Engineering View 461 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Applicants for admission are expected to have a U.S. or U.S.-equivalent bachelor’s degree with a minimum grade point average (GPA) of 3.0.
- Applicants whose native language is not English and whose post-secondary education was not in English are required to submit a TOEFL (iBT) score of at least 61, an IELTS score of at least 5, or a PTE score of at least 44.
Tuition Fees
-
International Applies to you
Applies to youNon-residents25650 USD / year≈ 25650 USD / year - Out-of-State25650 USD / year≈ 25650 USD / year
-
Domestic
Applies to youIn-State14100 USD / year≈ 14100 USD / year
Additional Details
New York State Resident: $5545 / semester.
Living costs
New York City
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Computer Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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