Graduate Programs in Computer Science

The Department of Computer Science offers courses leading to the MS and PhD degrees. The program offers instruction in the fundamental principles, design and applications of computer systems and computer technologies.

Students who obtain a Master's of Science in Computer Science are qualified to do significant development work in the computer industry or important application areas. Those who receive a doctoral degree are in a position to hold faculty appointments and do research and development work at the forefront of this rapidly changing and expanding field. Additionally, the department offers a Masters of Science in Information Systems in collaboration with the Stern School of Business. The emphasis in the MS in Information Systems program is on the use of computer systems in business. The Master of Science in Scientific Computing, just established by the Mathematics and Computer Science Departments, is designed to provide broad training in areas related to scientific computing using modern computing technology and mathematical modeling arising in various applications.

Established in 1969 as part of the Courant Institute of Mathematical Sciences, the department has experienced substantial growth in its faculty, student body, research staff, and funding. Research areas include algorithmics, computational geometry, high-level programming languages, compilers and compiler optimization techniques, parallel and distributed computing, design of computer systems, databases, artificial intelligence, natural language processing, graphics, multimedia, computer vision, mathematical programming, numerical analysis, computational biology and computational finance.

The core of the curriculum consists of courses in algorithms, programming languages, compilers, artificial intelligence, database systems, and operating systems. Advanced courses are offered in many areas such as natural language processing, the theory of computation, computer vision, software engineering, compiler optimization techniques, computer graphics, distributed computing, multimedia, networks, cryptography and security, groupware and computational finance. Adjunct faculty, drawn from outside academia, teach special topics courses in their areas of expertise.

The primary facility for graduate educational and research computing is a network of several hundred workstations. In addition, individual research groups have their own hardware resources including Silicon Graphics workstations, MacIntoshes, IBMs, DECs and HPs. Access to the Internet is provided through a T3 connection.

Each supported doctoral student has access to his or her own dedicated Unix workstation. Many other research machines provide for abundant access to a variety of computer architectures, including a distributed computing laboratory comprising 16 Sparc 5s and 16 Pentium PCs.

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