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To address the growing demand for data mining education, ACM SIGKDD has developed a sample curriculum for data mining.

Based on feedback from researchers, educators, and students, we are convinced that it is an important task to have a carefully designed, conceptually strong, technically rich, and balanced curriculum for this discipline. A comprehensive and balanced curriculum will ensure that the education in data mining sets a solid foundation for the healthy growth of the field, and it will promote systematic training of students in computer science, information sciences, and other related fields, and it will provide guidance for the training of the next generation of data mining researchers, developers and technology users.

Your comments are welcome!

Here is ACM SIGKDD Data Mining Curriculum Proposal, produced by

Jiawei Han (Chair of the Curriculum Working Group), S. Chakrabarti, M. Ester, U. Fayyad, J. Gehrke, S. Morishita, G. Piatetsky-Shapiro, and W. Wang.