NEW MASTERS PROGRAM IN KNOWLEDGE DISCOVERY AND DATA MINING The extraordinary spread of computers and online data is changing forever the way that important decisions are made in many organizations. Hospitals analyze online medical records to decide which treatments to apply to future patients. Banks routinely analyze past financial records to learn to spot future fraud. Today's demand for data mining expertise far exceeds the supply, and this imbalance will become more severe over the coming decade. To educate the next generation of experts in this important area, Carnegie Mellon University offers a new Master's program in Knowledge Discovery and Data Mining (KDD). This new inter-disciplinary program trains students to become tomorrow's leaders in the rapidly growing area of Knowledge Discovery and Data Mining. It is offered by Carnegie Mellon's Center for Automated Learning and Discovery (CALD), which has assembled a large multi-disciplinary team of faculty and students across several academic departments. KDD candidates will be trained in all important areas related to scientific data mining and knowledge discovery. The Master's program balances interdisciplinary course work, hands-on project work, and cutting-edge research carried out under direct faculty supervision. The curriculum addresses areas such as advanced machine learning algorithms, statistical principles and foundations, database and data warehousing methods, complexity analysis, approaches to data visualization, privacy and security, and specific application areas such as business, marketing, finance, and public policy. Our graduates are uniquely positioned to pioneer new data mining and knowledge discovery efforts, and to pursue top notch research on the next generation of data mining tools, algorithms, and systems. Carnegie Mellon invites applications of qualified individuals. Admission is highly competitive. A limited number of fellowships are available, which will be provided on a competitive basis. The application deadline is February 5, 2000. For more details about the program or to apply: http://www.cs.cmu.edu/~kdd ******************************************************************* Diane Stidle Center for Automated Learning and Discovery School of Computer Science 4609 Wean Hall Phone: 412-268-1299 Carnegie Mellon University Fax: 412-268-3431 5000 Forbes Avenue Email: diane@cs.cmu.edu Pittsburgh, PA 15213-3891 http://www.cs.cmu.edu/~cald
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