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CCSU's Master of Science in Data Mining has twice been recognized as a "Best Buy" by GetEducated.com, indicating that the MS program has been found to offer a high quality distance degree to a national audience at tuition rates well below the national average. 

  
This article about the MS in Data Mining
appeared on the front page of the Hartford Courant.

 


Please Join us for the
Inaugural Connecticut data mining conference

Friday April 27, 2012

Click here for further information.
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Explore Cutting-Edge Data Mining Techniques and Applications:  

Predictive Analytics       Text Mining    Segmentation Models
          Neural Networks         Web Mining     Genomic Data Mining
       

All courses are online!   
CCSU is the first University in the world to offer an online Master of Science in data mining.

New revised MS Program of Study
  • Reduced the number of required program credits from 36 to 33.
  • Eliminated the calculus and mathematical statistics program prerequisites.
  • Reduced the number of core courses required from 8 to 6, allowing students to finish quicker.

Click here for an announcement: Data Mining Scholarships

For further information about the data mining programs at CCSU, please contact
Program Director Daniel Larose at
larosed@ccsu.edu. _________________________________________________ 

  
Data Mining Books by Data Mining @CCSU Faculty

Discovering Knowledge in Data: An Introduction to Data Mining,
 by Daniel Larose  
(Wiley, 2005)

Data Mining 
Methods and Models
by Daniel Larose  
(Wiley, 2006)



 Data Mining the Web:
Uncovering Patterns in Web Content, Structure, 
and Usage,
by Zdravko Markov and
 Daniel Larose (Wiley, 2007)

Practical Text Mining with Perl, 
by Roger Bilisoly (Wiley, 2008)



Data Mining for Genomics and Proteomics, 
by Darius Dziuda (Wiley, 2010)

 
The companion website for three of these books is here: www.dataminingconsultant.com.

 

Scholarship and Graduate Award Honorees
Graduate Academic Award
2011 - 2012     Rajiv Sambisavan
2010 - 2011     Jeffrey Allard
2009 - 2010     Alexander Bitiukov
2008 - 2009     Thomas Wilk
2007 - 2008     Donald Wedding
2006 - 2007     Senthil Murugan
2005 - 2006     Kathleen Alber
2004 - 2005     James Steck
Larose Data Mining Scholarship
Fall 2011      Rajiv Sambisavan and Thomas Wilk
Spring 2011  Jeffrey Allard and Malcolm Houtz

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