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. Daniel Larose.
Students who have been conditionally admitted, and have completed their conditions, should notify Dr. Daniel Larose so that you may be fully and officially admitted.
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 Minin
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.
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.
Cost
All data mining majors are classified for business purposes as part-time students, with a premium rate.
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 students planned program.