All students who have been admitted (not conditionally admitted) to the Master of Science in Data Mining should download the 2007 Planned Program of Study, complete as much of it as you can, and email to Dr. Larose at larosed@ccsu.edu.

Students who have been conditionally admitted, and have completed their conditions, should notify Dr. Larose at larosed@ccsu.edu, so that you may be fully and officially admitted.

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An Overview of the MS in Data Mining: 36 Credits
(All courses 3 credits unless otherwise indicated.)

Core Courses
Stat 416 Mathematical Statistics II
Stat 521 Introduction to Data Mining (4 credits)
Stat 522 Data Mining Methods (4 credits)
Stat 523 Applied Data Mining (4 credits)
Stat 525 Web Mining 
Stat 526 Data Mining for Genomics and Proteomics  
Stat 527 Text Mining
Stat 570 Applied Multivariate Analysis                                                                 

Thesis Course
Stat 599 Thesis 

Elective Courses
Choose any two courses from the following list.          
Stat 455 Experimental Design     
Stat 529 Current Issues in Data Mining      
Stat 551 Applied Stochastic Processes         
Stat 567 Linear Models            
Stat 575 Mathematical Statistics III                   
CS 570 Topics in Artificial Intelligence: Machine Learning       
CS 580 Topics in Advanced Database: Data Mining          
Other appropriate graduate course, with permission of advisor. 3

 Program Prerequisites:

Applicants to the Master of Science in Data Mining program are expected to have completed, or be in the process of completing, Math 221 Calculus II;  Stat 315 Mathematical Statistics I;  and a second semester course in undergraduate statistics.

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Cost
All data mining majors are classified for business purposes as part-time students, with a premium rate, see here.

Matriculation
Students may take up to 9 credits (3 courses) before matriculating.

Prerequisites

• Students may be admitted on condition that they complete the program prerequisite courses with a grade of B or better.  The prerequisite course Stat 315 is offered online.  

• New students may take the first course in the program while working on the prerequisites for the more advanced courses.

• Admission criterion: Approval of the Department of Mathematical Sciences.  

• A maximum of 9 credits of 400 level courses are allowed to be counted, as approved by the graduate advisor, on a student’s planned program.

Financial Aid 

For financial aid questions, please see http://www.ccsu.edu/finaid/ or contact Richard Bishop at BishopR@ccsu.edu.

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