CCSU Launches Online Master of Science in Data Mining
Central Connecticut State University (CCSU) announces the launching of
the first online Master of Science program in Data Mining. Data
mining is the search for interesting patterns and trends in large
databases using statistical methods. The MIT Technology Review chose
data mining as one of ten emerging technologies that will change the
world. “Data mining expertise is the most sought
after…” among information technology professionals,
according to the 1999 Information Week National Salary Survey. In a
2001 KDNuggets survey, 27% of data mining professionals earned more
than $100,000 (US) annually.
All courses in the data mining MS program are offered online. This
means that class is as close as your computer, whether you live in
Beijing, New York, Singapore, or Canton. Further, all courses are
asynchronous, meaning that students can work when they want to work,
whether at 3:00 in the afternoon, or 3:00 in the morning.
The 33-credit program, which can be completed in two years, consists
of courses in data mining, artificial intelligence, statistical
analysis, and computer science. The MS in data mining is fully
licensed by the State of Connecticut Department of Higher Education.
The program stresses the solution of real-world problems, using
applications and case studies, while gaining a deep appreciation of
the underlying models. These applications include customer
relationship management, credit-card fraud, and profit/cost
optimization. Students will apply methodologies such as decision
trees, market basket analysis, neural networks, association rules, and
cluster detection. Students will gain strong exposure to
state-of-the-art software such as the Clementine data mining suite
Courses available online, starting in January, include Introduction to
Data Mining, Data Mining Methods, Linear Models, Foundations of
Computer Science, Database Concepts, and Mathematical Statistics II.
Some prerequisite courses are also offered online. To register for
these courses, proceed to OnlineCSU at http://onlinecsu.ctstateu.edu/.
For more information about the data mining program, including how to
apply, please visit www.ccsu.edu/datamining, or contact Program
Director Daniel T. Larose, Ph.D. at firstname.lastname@example.org or 860-832-2862.
[ comp.ai is moderated. To submit, just post and be patient, or if ]
[ that fails mail your article to <email@example.com>, and ]
[ ask your news administrator to fix the problems with your system. ]
This message was posted through the fuzzy mailing list.
(1) To subscribe to this mailing list, send a message body of
"SUB FUZZY-MAIL myFirstName mySurname" to firstname.lastname@example.org
(2) To unsubscribe from this mailing list, send a message body of
"UNSUB FUZZY-MAIL" or "UNSUB FUZZY-MAIL email@example.com"
(3) To reach the human who maintains the list, send mail to
(4) WWW access and other information on Fuzzy Sets and Logic see
(5) WWW archive: http://www.dbai.tuwien.ac.at/marchives/fuzzy-mail/index.html
This archive was generated by hypermail 2b30 : Tue Nov 13 2001 - 18:08:32 MET