Master
of Science Degree
Highlights of the 2011 revision:
-
Reduced the number of required program credits from 36 to
33, thereby reducing cost and time.
-
Eliminated the calculus and mathematical statistics program
prerequisites.
-
Streamlined the course prerequisites for some courses,
so that students do not have to wait to take them.
-
Increased the topics covered (and credits) for two of our
cutting-edge courses: Stat 526 Data Mining for Genomic and
Proteomic Data, and Stat 527 Text Mining.
-
Eliminated the mathematical statistics core course and
reduced the number of core courses required, from 8 to 6,
allowing students to finish quicker.
-
Redesigned Stat 522 (Clustering and Affinity Analysis) and
Stat 523 (Predictive Analytics), so that either may be taken
after Stat 521.
Accredited
by the State of Connecticut Board of Regents for Higher Education.
Details
on how to apply to the Master of Science in data mining may be
found here.
All students who have been admitted
(not conditionally admitted) to the Master of Science in Data
Mining should download the
Planned Program of Study for the Master of Science 2011, complete as much of it as you can, and
email it 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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Master of Science in Data Mining – Program Revision and
Rationale
Course and Capstone Requirements (33 Credits)
Core Courses (27 credits)
The following courses are required
of all students:
STAT 520
Multivariate Analysis for Data Mining (new course)
STAT 521
Introduction to Data Mining
STAT
522
Clustering and Affinity Analysis
STAT
523
Predictive Analytics
STAT 526
Data Mining for Genomics and Proteomics
STAT 527
Text Mining
STAT 599
Thesis
Each of the above courses is 4 credits except Stat
599: 3 credits.
Elective
Courses (6 credits)
Choose any two (2) courses from the
following list (all courses 3 credits):
CS 570
Topics in Artificial Intelligence: Machine Learning
CS 580
Topics in Database Systems and Applications: Data Mining
STAT 455
Experimental Design
STAT 456 Fundamentals of SAS
STAT 465
Nonparametric Statistics
STAT 525
Web Mining
STAT 529
Current Issues in Data Mining
STAT 534
Applied Categorical Data Analysis (new course)
Other appropriate graduate course, with permission of
advisor
Courses
available
Click here.
Choose the semester you want and click "submit".
Type "stat" or "cs" for the "subj
code" and click "search courses."
Program
Prerequisites:
Applicants to the
Master of Science in Data Mining program are expected to have
completed,
or be in the process of completing, a single
course in 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 before matriculating.
Requirements
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/page.cfm?p=1512 ---------------------------------------------------------------------------------------------------------------
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