Master of Science Degree
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. Bilisoly at email@example.com.
Students who have been conditionally admitted, and have completed their conditions, should notify Dr. Bilisoly firstname.lastname@example.org 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:
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):
Other appropriate graduate course, with permission of advisor.
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.
All data mining majors are classified for business purposes as part-time students, with a premium rate.
Students may take up to 9 credits before matriculating.
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.