Doctor's degree in Computer Science at Harvard University

 

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Doctor's Degree in Computer Science at Harvard University

Harvard University
Doctor's degree
Computer Science

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Computation has become a critical bridge for the sciences. While the need for developing fundamental technologies remains, a new challenge for the next century is weaving technology into the fabric of society in helpful ways. The internet, for example, has improved everyday life, but it has also introduced a host of new issues such as spam, viruses/worms, digital copyrights, identity theft, electronic fraud, and even electronic warfare. Technology may have fostered the problems, but such complex issues – that span disciplines ranging from economics to ethics – will not be solved by technology alone.

Harvard's faculty in computer science investigate a wide range of topics, including ground-breaking work in provably secure cryptography, the implementation of sensor nets, developments at the interface of economics and computer science, and discoveries in VLSI.

Some of the key advances in CS happened at Harvard, including the development of the Mark computers, the invention of the COBOL programming language, the development of the APL programming language, the founding of computer graphics, the creation of the Information Dispersal Algorithm, the development of the PAC model for computational learning, the establishment of one of the first full-featured CS curriculums, and the creation the first Microsoft product, BASIC.

Since computer science is part of the Division, it is inside of a dynamic hub that links to the rest of the University, from fields such as Electrical Engineering, Physics, Chemistry, and Biology to Harvard's professional schools in medicine and business.

The state-of-the-art building that houses activities in computer science and electrical engineering, Maxwell Dworkin, was underwritten by two of the Division's most famous attendees, Bill Gates COL '77 and his classmate Steven Ballmer '77.

We offer S.M., M.E., and Ph.D. programs. Areas of focus include:

Artificial Intelligence and Computational Linguistics
Electronic Commerce
Graphics
Languages, Compilers, and Tools
Networking and Systems
Theory of Computation



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